Duties: Vous travaillez en étroite collaboration avec divers membres internationaux de l'équipe ainsi qu'avec les parties prenantes pour recueillir les besoins, effectuer des analyses de données avancées, et développer des solutions optimales. Vous utilisez différents outils d’analyses et de visualisation de données tels que Tableau, Foundry Palantir, Python, SQL et autres pour créer des tableaux de bord dynamiques de visualisation des données. Vous soutenez l'équipe sur les projets et initiatives clés pour une amélioration continue des outils de reporting, des processus et de gouvernance. Vous contribuez aux efforts continus visant à améliorer la qualité des données au sein de l'organisation, en veillant à l'exactitude et à la fiabilité de toutes les initiatives analytiques
Requirements: Solides compétences analytiques et expérience en gestion des données avec une affinité pour la programmation; Maîtrise de l'anglais avec de solides compétences en communication, tant à l'écrit qu'à l'oral; Expérience avec des outils de visualisation tels que Tableau et maîtrise de MS Office; Capacité à travailler de manière autonome, à prendre des initiatives personnelles et à faire progresser les projets; Bonnes compétences relationnelles, favorisant la collaboration, la curiosité, l’adaptabilité et le travail d'équipe

Department: Internal Firm Services
Workload: 100%
Duties: Operate, monitor, and supervise Messaging and Collaboration Services in the cloud; Localize, isolate and fix malfunctions, in addition you give impulses for technical avoidance and/or escalation procedures; Help with conception, design and architecture, project realization, implementation and operation of innovative business solutions using state-of-the-art technologies; Work together with a team of experts in an open and caring environment where we value feedback culture; Work on multiple tasks and have the possibility to take on responsibility from day one
Requirements: Higher education degree in computer science (University, HES/ETS) or comparable practical experience; Profound knowledge and multiple years of experience as Microsoft Exchange Online administrator in complex enterprise environments; Good expertise with Microsoft 365 services (SharePoint Online, Teams, OneDrive) and with PowerShell scripting in relation to MS365 as well as experience with the following technologies: Active Directory, Azure services, Power Automate, Authentication services (SAML, OAuth, Kerberos, LDAP, MFA, …) and Google Workspace; Committed, independent, reliable, and solution-oriented team player, with a “can do” attitude, welcoming new challenges and strong analytical and problem-solving skills; Fluency (written and spoken) in English. French and German are a plus

Workload: 100%
Duties: Be part of our growing SAP practice in areas of large to mid-size transformation projects; Take part in client engagement for Data Migration from legacy to SAP S/4 HANA; Define and implement with our customers best practices for master data management in SAP S/4 HANA system; Develop subject matter expertise in SAP data models, SAP Process Modules and data conversion approach of Material, Customer, and Vendor Master Data conversions; Develop knowledge for SAP Migration tool (ETL) and advise our customer on data management tooling solutions; Participate in client conversations, presentations, and workshops; Foster a community of SAP Data Management consultants; Get yourself networked within KPMG international to ensure leveraging the latest develops and best experts from our network
Requirements: 2-5 years'experience working in the subject of SAP Master Data Management and/or data migration, preferably at a consulting company; Hands-on knowledge of SAP data models and data dictionary structures; Experience in migrating data with LSMW, LTMC and IDocs; General understanding of Data Migration Methodology (ETL); Passionate about developing knowledge on ERP in particular SAP S/4 HANA; Keen on skill-developing, knowledge-sharing working together as a team; Proficient English skills are required and conversational skills in German and/or French skills; Additional Good to have skills: Programming Language skills (ABAP, SQL, Python); Experience in SAP MDG (9.0 or above)

Duties: Build a chatbot combining machine learning and formal methods; Build a case law spider capable of extracting case law into JSON format, including their translation into English; Create a case law index for use by the chatbot; Develop machine learning algorithms for case retrieval and analysis
Requirements: M.Sc. degree in Computer Science or related fields (e.g., engineering, applied mathematics, etc.); Minimum of 5 years’ experience in full stack/software development is required (advantage for the MEVN stack); Good understanding of Python; Experience with basic machine learning pipelines (advantage for Rasa and Transformers ecosystems); Understanding and implementation of project management for Software engineering best practices; Good written and oral skills in English

Duties: Work on project-relevant subjects from the last and current Release of the 3GPP radio access and/or core network standards, implement the features in MATLAB and/or OpenAirInterface software for computer simulations, and conduct theoretical research to submit proposals to the ongoing study or work items, with a view towards patenting and possible inclusion into the future Releases; Perform research on future communications networks topics including, but not limited to: Non-Terrestrial Networks (NTNs); Multicast and Broadcast Services (MBSs); Uncrewed Aerial Vehicle (UAV), UA System (UAS) and Urban Air Mobility (UAM); Experimental emulators, prototypes, testbeds and distributed research infrastructure test platforms
Requirements: A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on wireless communications; Good understanding of the 3GPP 5G radio access and/or core network protocols; Proficiency in multiple programming languages including bash scripting, MATLAB, C/C++ and Python. Other simulation languages such as JULIA are pluses; Working knowledge of the OpenAirInterface open source software stack. Practice in other open source mobile network software frameworks such as srsRAN or O-RAN Front Haul Interface is valuable

Duties: Bando di selezione n. 4/2024 per il conferimento di 2 assegni, tipo A, per lo svolgimento di attività di ricerca
Requirements: Progetto dal titolo "Identificazione Automatizzata di Vulnerabilità su Prodotti IoT tramite Intelligenza Artificiale (AISec4IoT)/Automatic vulnerability detection on IoT products via Artificial Intelligence (AISec4IoT)"

Duties: Studying systems in a game-theoretical context involving physical constraints taking the form of partial differential equations with uncertainties; Analyzing distributed stochastic models where agents do not share all information but need to find equilibrium strategies; Developing and implementing novel distributed algorithms to find equilibria computationally
Requirements: A motivated, outstanding student with a master’s degree in mathematics. A strong background in the theory and numerics of partial differential equations and a very good background in optimization and/or stochastic analysis is required

Duties: The goal of the project is to develop new algorithms for container loading problems. The task there is to find an efficient placement of boxes into transport containers such that special loading constraints (e.g., box stacking rules, weight distribution rules, rules about the placement location of dangerous goods) are satisfied. A special focus within this project will be on achieving more efficient and greener transports
Requirements: The candidates must have a master degree (or equivalent in mathematics or a related field with a sound mathematical background by October 2024. Due to the applied character of the project some experience in coding and an interest into optimization problems are an absolute requirement. A solid background in optimization, prior experience with C/C++ or Python, knowledge of MIP solvers and familiarity with machine learning are a plus

Duties: The Weierstrass Institute conducts project oriented research in applied mathematics with the aim of solving complex problems in technology, science and the economy. The institute deals with the whole scientific solution process, starting with mathematical modeling, followed by the theoretical analysis of models, and ending with the numerical simulation of the solution. In this context, the WIAS maintains long term, wide-ranging contacts with those who apply mathematics in industry and other areas of research and for whom it is a reliable partner
Requirements: WIAS posts regulary jobs at our sites. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: The Zuger Kantonsspital comprises four clinics: the Surgery Clinic, the Orthopaedics and Traumatology Clinic, the Medical Clinic and the Obstetrics and Gynaecology Clinic. These specialisations are complemented by anaesthesia/intensive care medicine with an intensive care unit, diagnostic and interventional radiology and the interdisciplinary emergency centre
Requirements: We crawl all higher jobs at Zuger Kantonsspital automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Department: Advisory
Workload: 100%
Duties: A career within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world’s largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage
Requirements: As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution

Duties: The candidate is expected to run established complex analysis pipelines and optimize as necessary. Designing and developing novel pipelines, databases, and interfaces for analyzing and manipulating research data and analyzing and interpreting results of experiments will also be expected; Specific data analysis will include but not be limited to imaging evaluation/quantitation, bulk/single cell RNA seq, ATAC-seq, and other high dimensional data; Statistical expertise also a plus; Experience in both human and murine tumor immunology and CD8 T cell biology is not required but would be helpful; Assist with grant submissions requiring bioinformatics support
Requirements: PhD in bioinformatics, computer science, biological or physical science, or a related discipline with extensive experience in bioinformatics applications. This position will involve working directly with radiation oncology faculty including PhD scientists, physician-scientists and clinical researchers

Workload: 80-100%
Duties: You will work in our projects in your area of expertise, which will include one or more of: Circuit and PCB design; Research and development of optical and microcontroller systems that find use in autonomous vehicles and robot control; Circuit and PCB design to high dependability standards in Altium Designer; Component library maintenance; FPGA development; Research and development of AI-accelerator dependability-enhancements and dependable vi-sion-processing systems; Experience with both Intel/Altera and AMD/Xilinx development environments; Development in VHDL and use of High-Level Synthesis; Verification using open verification methodology in Python; Firmware development; Research and development of artificial intelligence, autonomous vehicle navigation and hard real-time vision processing systems; Development in C and Python
Requirements: We are looking for a personality with: a university/university of applied sciences degree in electrical engineering or computer scienc-es; first professional experience in the relevant fields; a high degree of operational independence and self-motivation and feels comfortable in our open university environment; and who enjoys challenging work with future technologies whilst maintaining a customer- and results-oriented approach to work

Workload: 80-100%
Duties: Entsprechend Ihren Kompetenzen werden Sie in unseren Projekten mit einem oder mehreren der folgenden Fachgebiete arbeiten: Entwurf von Schaltungen und Leiterplatten; Forschung und Entwicklung von optischen und Mikrocontroller-Systemen, die in autonomen Fahrzeugen und Robotersteuerungen zum Einsatz kommen; Schaltungs- und PCB-Design nach hohen Zuverlässigkeitsstandards in Altium Designer; Pflege der Bauteilbibliothek; FPGA-Entwicklung; Forschung und Entwicklung von Zuverlässigkeits-Architekturen für KI-Beschleuniger und zu-verlässigen Bildverarbeitungssystemen; Wir setzen sowohl Intel/Altera als auch AMD/Xilinx Entwicklungsumgebungen ein; Entwurf in VHDL und Anwendung von High-Level-Synthese; Verifizierung mit Open Verification Methodology (OVM) in Python; Firmware-Entwicklung; Forschung und Entwicklung in den Bereichen künstliche Intelligenz, autonome Fahrzeugnavigation und Bildverarbeitungssysteme in harter Echtzeit; Entwicklung in C und Python
Requirements: Am Institute of Embedded Systems erwartet Sie ein engagiertes, motiviertes Team und ein spannendes, innovatives Arbeitsumfeld. Wir suchen eine starke Persönlichkeit; mit einem Abschluss einer Fachhochschule/Universität in Elektrotechnik oder Informatik; mit Berufserfahrung in den beschriebenen Fachgebieten; die eine hohe Selbstständigkeit und Selbstmotivation besitzt und sich in unserem offenen Hochschulumfeld wohlfühlt; und mit Freude an anspruchsvoller Arbeit mit Zukunftstechnologien

Duties: Meeting faculty members and researchers to evaluate their bioinformatics needs; Conducting data analysis that meets quality standards of major peer-reviewed publications; Providing faculty members and researchers with data, analysis protocols, figures, method descriptions, code, documentation, support, and anything else that might be needed to meet project goals; Managing time and projects efficiently to support the analysis needs of multiple labs simultaneously; Establishing, refining, and standardizing the process for bioinformatics analysis and validation. Benchmark-driven development is expected, e.g., use of PrecisionFDA/Genome-in-a-Bottle for DNASeq analysis, or the use of well-characterized data or simulated data where commonly-used reference datasets do not exist
Requirements: PhD in Bioinformatics, Computational Biology, Physics, Computer Science or related field; Ability to define and solve logical problems for highly technical applications; Deep understanding of next-generation sequencing data and bioinformatics algorithms. While Illumina sequencers are the most common data source, it is not unusual to see 10xGenomics or PacBio data; Provide best-practices data analysis, including QC and visualization, employing common NGS pipelines such as RNAseq, ChIP-seq, ATAC-seq, Methyl-seq, DNA-seq, and Microbiome Sequencing. Multiomics analysis is often needed

Duties: The Computational Structural Biology Research Team aims to advance our understanding of biological processes by studying the structures and dynamics of biological molecules. More particularly, the team aims to develop computational tools that can be used to interpret structural data as obtained from cryo-electron microscopy, electron tomography, atomic force microscopy, and x-ray free-electron laser experiments
Requirements: Applicants must have a doctoral degree or expect to receive a doctoral degree before the date of appointment. In general, those who earned a doctorate within the past 5 years will be appointed as Postdoctoral Researcher, and those who earned a doctorate more than 5 years ago will be appointed as Research Scientist. Applications are welcome from any field, although proven skill in UNIX and programming languages for scientific computation is required. Experience with 2D image analysis in relation to X-ray diffraction and electron microscopy, MD simulations, coarse-grained modeling, high-performance parallel computing, and machine learning is a great plus. Excellent communication skill in English is required

Duties: Sicherstellen des Betriebs der IT-Infrastruktur bei unseren Kunden; Konfiguration, Entwicklung und Optimierung von Cloud Services; Selbständige Analyse und Behebung von Störungen vor Ort oder per Remote-Zugang; Installation und Konfiguration in Microsoft basierten Umgebungen; Erstellung und Pflege der Dokumentationen unserer Kundennetzwerke; Beratung und Unterstützung der Kunden in IT-Fragen aller Art
Requirements: Abgeschlossene IT-Ausbildung; Erfahrung mit der Installation und dem Support von Microsoft basierten Client/Server-Umgebungen im KMU-Umfeld; Erfahrungen mit Cloudservices wie Office 365, Exchange online und Sharepoint online; Kenntnisse im Netzwerkbereich; Selbständige, verantwortungsbewusste und lösungsorientierte Arbeitsweise; Ausgeprägte Dienstleistungs- und Kundenorientierung; Fahrausweis Kat. B; Einwandfreie Deutschkenntnisse in Wort und Schrift

Workload: 80-100%
Duties: Weiterentwicklung und Verbesserung des Web-Backends in Java SE; Integration in alle Prozesse; von der Idee über die Konzeptionsphase bis hin zur Entwicklung; Mitgestaltung der Architektur; Aktive Weiterentwicklung unserer Technologien und Tools; Fachaustausch und Know-how-Sharing mit den Teams; Autonomes Arbeiten und Entscheidungsfreiheit innerhalb deiner Rollenkompetenzen (Holacracy)
Requirements: Abgeschlossenes Studium/abgeschlossene Ausbildung in der IT oder mehrjährige Erfahrung in der Software-Entwicklung; Top Know-how in Java und Wissen über aktuelle Frontend-Technologien (JavaScript, Angular, etc.); Interesse an hoch skalierbarer Microservice-Architektur; Erfahrung in der Entwicklung von Webapplikationen unter Java (Tomcat); Basics von Unix-Systemen (und du kannst grundlegend damit umgehen)

Duties: Act as a technical lead on projects aiming to improve performance of core pricing models and deliver results; Work end-to-end from data exploration, creating data pipeline, generating insights/features, building ML models to deploying them; Define and maintain science and engineering best practices in the form of processes; Lead code reviews to identify issues, root causes and solutions; Work with product and data science management to develop key results for given product objectives; Work with other technical product owners, lead data scientists and data science managers to develop technical solutions
Requirements: Advanced degree (Ph.D. or Master's) in a quantitative field such as Computer Science, Statistics, Mathematics, or related discipline; 8+ years of experience in a data science role, with a proven track record of developing and deploying predictive models; Strong expertise in neural networks and deep learning techniques, with hands-on experience in their application to real-world problems; Proficient in Python for data analysis, machine learning, and model deployment; Cloud background, with experience in GCP (Google Cloud Platform) being a plus

Duties: Develop and improve pipelines for content acquisition including targeted manual curation and automated processing of structured and unstructured biological data; Work collaboratively with the other team members to make decisions on content modeling and integration for all QIAGEN products and services; Contribute to quality control and reliability efforts for our processes, pipelines, tools, and models that support development, build, and maintenance of our biological content; Review and refine data and software requirements, use cases, and workflows for product features to ensure that they are scientifically valid, technically robust, and testable
Requirements: Domain knowledge evidenced by a graduate degree and applied experience in genetics, molecular biology, bioinformatics, or related field; Familiarity with bioinformatics tools in genome biomedical research (e.g., genomic databases, genome browsers, mutation repositories), or integrative data analysis as it relates to genetics, multiomics, cell biology, physiology and pathology; Proven ability to solve problems using programming skills, especially in Python, Perl, or Java. 5+ years of experience or formal or advanced training preferred; Experience with database design and programming (e.g. PostgreSQL, Oracle, Neo4j)

Duties: Lead from front to establish Analytics & AI/ML CoE by hiring best-in-class resources, creating strategic roadmap, and owning KPIs & reporting; Collaborate with global business teams to understand the problems and design scalable solutions; Apply statistical and machine learning methods to analyze large, complex datasets to extract meaningful insights and inform company strategies; Identify and understand the necessary data sources for projects and efficient ways to clean and transform it
Requirements: B.E in Data Science, Engineering, Mathematics, Statistics with 6+ years prior relevant engineering experience OR Advanced Degree in Data Science, Engineering, Mathematics, Statistics with and 4+ years prior relevant engineering experience; Experience as a people manager within a technical leadership role; Experience developing people, including individual goal setting, performance management, and talent development; Outstanding written and verbal communication skills in English

Duties: Conduct independent and collaborative genomics-based research in bioinformatics, particularly in the area of spatial and single cell genomics; Team science collaboration to tackle a variety of cancer clinical and basic science research projects; Communicate clearly and openly; Build relationships to promote a collaborative environment
Requirements: Successful candidates must have a Ph.D. in biomedical informatics, bioinformatics, computational immunology, computer science, biostatistics or related field and relevant research training and experience

Duties: Keep abreast on research in LLM compression algorithms; Design, implement, and evaluate LLM compression algorithms that minimize regressions, reduce training friction, and improve performance; Run ablation experiments to understand the Pareto-frontier; Build robust, reproducible, and portable training recipes; Work with production SW teams to realize recipes in production workflows
Requirements: M.S. degree or equivalent experience in Computer Science or a related field, and/or proven track record. PhD preferred; 6+ years of relevant work experience; Strong programming skills and ability to debug ML systems; Experience with PyTorch; Proficient in the math of machine learning; Strong written and oral communication skills

Duties: As a Principal Machine Learning Engineer, you will drive the development and implementation of the cutting-edge machine learning algorithms, collaborating with business, engineering, and analytics teams, to build large-scale recommendation systems to recommend the best content, notifications and actions to our customers. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI/ML's transformative potential is realized across our offerings
Requirements: Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience); 8+ years of related industry experience in the machine learning domain; Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks); Experience building and scaling machine learning models in business applications using large amounts of data

Duties: Conduct innovative research and development in Generative AI; Develop and transfer novel technologies to Adobe products; Research and develop novel large-scale foundation models in Generative AI; Helping set the technical and research direction, making architectural decisions, and implementing complex systems; Collaborate with outstanding researchers and engineers to bring ideas to production; Convert a research idea/paper to code in Python and typical machine learning development toolkits; Provide technical mentorship and guidance
Requirements: Master or Ph.D. in Computer Science (AI/ML or related fields are a plus); 3-5 years of experience on a similar role; Good interpersonal skills and a phenomenal teammate; Experience in pioneering Generative AI technologies, such as diffusion and/or GAN models; Experience with machine learning frameworks (Pytorch, TensorFlow or Jax)