Duties: Supports software development and engineering of new artificial intelligence, machine learning, and deep learning products and technologies for the enterprise through research, leading to new or improved software products. Researches technological trends and advancements, recommending strategic product enhancements to ensure product relevancy and support revenue growth. Collaborates with industry and academies, participates in industry standard definition, collaborates with product managers and technical groups to address important customer issues, and finds innovative solutions to difficult problems for midterm or longterm time frames. May research to define boundaries, create proof of concepts, or prototype new ideas
Requirements: More than 4 years (Ph.D. case 1+ years) experiences on deep learning research and development; Excellent problem solving and algorithm design skills

Duties: Für unsere Abteilung Supply Chain Management, das für die Produktion und Lieferung von Produkten in über 100 Länder verantwortlich ist, suchen wir einen Supply Chain Data Analyst (m/w/d). In dieser Position arbeitest du eng mit verschiedenen Teams zusammen, darunter Fertigung, Planung, Logistik und IT, um Verbesserungsmöglichkeiten zu identifizieren und kontinuierliche Verbesserungsinitiativen voranzurtreiben. Diese Position bietet eine grossartige Gelegenheit, in einem internationalen Umfeld zu arbeiten und ein breites Spektrum von Themen der Supply Chain und der Produktion abzudecken, einschliesslich Demand- und Supply Planning, Produktlebenszyklus, Bestandsverwaltung, externer Beschaffung, logistischen Transport und Qualitätsmanagement
Requirements: Mindestens Bachelor-Abschluss, bevorzugt in Supply Chain Management, Finanzen, Statistik oder Ingenieurwesen; Fliessend Deutsch und gute Englischkenntnisse (Muss); Neugierig, flexibel und "Hands on” Mentalität; Verständnis für End-to-End-Lieferkettenkonzepte und Distributionsstrategien; Fähigkeit, komplexe Sachverhalte zu analysieren und Details zu beachten; Starke Kenntnisse in Excel und Power BI (Power Automate und Power Apps ist ein Plus); Gute Kommunikationsfähigkeiten in Wort und Schrift

Duties: Lead the development of novel deep learning for deciphering the human genetic code, diagnosing pathogenic genetic variants by combining information from detailed clinical phenotypes and medical records, protein structures, and genomic data; Lead scientific collaborations with Illumina’s academic, nonprofit, and industry partners, and lead a multidisciplinary team focused on achieving these aims; Publish and disseminate methods and findings and incorporate them into software products to the benefit of the wider genetics community
Requirements: MD or PhD in computer science, genetics, computational biology, or related field; Expert in deep learning, statistics, proteinomics and/or genomics; Possesses strong communication skills, with the ability to present complex scientific ideas to clinical, scientific, and industry audiences; Be willing to work in a fast paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines

Duties: Write, test and perform quality control of SAS, R and SQL programs to perform data manipulation and analysis of large observational healthcare databases to produce analysis datasets and statistical reports; Lead a team of statistical programmers to deliver accurate outputs on time and to specifications; Coordinate with stakeholders to prioritize and manage workflow; Identify potential efficiency improvements and propose solutions
Requirements: Bachelors degree or equivalent in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subject; Extensive SAS or R programming experience for complex data manipulation and analysis; Proven experience with database programming using SQL

Duties: Is a successful problem solver who can bring to bear technical expertise to work closely with other functions to answer important questions about our products by translating strategic needs into innovative statistical solutions; Is responsible for providing technical statistical leadership to data-related research in Health Technology Assessment (HTA) and reimbursement to improve the success of the compound considering requirements across the globe (US, Europe, Asia Pacific and other geographies)
Requirements: PhD with at least 3+years of experience or MSc degree with at least 6+ years of experience in statistics or related field; Expertise in HTA, health outcomes research, and/or real-world evidence is required; Significant experience in Health Technology Assessment in major markets; Excellent knowledge of statistical theory and methodology, with solid understanding of experimental design and causal inference methods

Duties: Producing high quality regular investment performance analysis and reports; Assisting with the review and implementation of investment options; Using mathematical models to project and compare investment outcomes for different investment strategies; Using mathematical models to project maximum losses; Assisting in the delivery of other non regular reporting and investment consultancy services to clients; Representing BWCI professionally and effectively with clients and investment managers; Checking work of other team members; Providing input into investment related projects and processes including development of mathematical models
Requirements: Maths at A Level (A - B Grade) is essential, English minimum C grade at GCSE; Maths or science based degree is desirable; Good knowledge of Microsoft Office, specifically Word and Excel; If suitable progress is made the successful candidate will be supported through Institute and Faculty of Actuaries exams; Previous experience in a financial services office environment will be an advantage to applicants; Knowledge and experience of visual basic or similar would be advantagous

Duties: Gesprächsführung mit der lokalen Bevölkerung sowie Vertretern von Institutionen und Behörden im Einsatzgebiet zur Erkennung potentieller Lageveränderungen; Unterstützung des Teamleaders im Erarbeiten von Gesprächsstrategien sowie Rapportieren der Informationen von Gesprächspartnern; Durchführen von Patrouillen mittels Fahrzeug oder zu Fuss; Informieren und Instruieren der Sprachmittler vor Gesprächen, Meetings und Patrouillen; Erstellen von Rapporten in englischer Sprache zugunsten der Missionsführung gemäss deren Einsatzrichtlinien
Requirements: Abgeschlossene Berufsausbildung oder Studium; Zur eigenen Sicherheit und zur Sicherheit der Kameradinnen und Kameraden sowie einer reibungslosen Zusammenarbeit mit österreichischen Kollegen/innen und lokal angestellten Personen, sind für diese Funktion Kenntnisse der deutschen Sprache (mind. B2) erwünscht; Kenntnisse der englischen Sprache (mind. B2); Ziviler Führerausweis (Kat B); Alter zwischen 18 und 65 Jahren; Abgeschlossene Rekrutenschule der Schweizer Armee, Frauen mit Schweizer Staatsbürgerschaft ohne militärische Grundausbildung werden der Funktion entsprechend militärisch ausgebildet

Workload: 100%
Duties: Durchsetzung der vom UNO-Sicherheitsrat verabschiedeten Resolutionen überwachen; Verstösse gegen die Resolutionen der UNO beobachten und rapportieren; Gespräche mit der lokalen Bevölkerung und Behörden führen sowie Patrouillentätigkeiten im Einsatzgebiet ausführen; Truppenbeschränkungen sowie Waffen und Munition im Einsatzgebiet auf Grundlage des Missions-Mandates kontrollieren; Einhaltung der Grundlagen zum Schutz der Zivilbevölkerung und des UNO-Personals durch Verhandlungen und Gespräche kontrollieren
Requirements: Abgeschlossene Berufslehre oder Studium, praktische Veranlagung und einwandfreier Leumund; Militärischer Grad der Schweizer Armee als Oberleutnant, Hauptmann, Major oder Oberstleutnant; Psychische und physische Belastbarkeit; hohe Bereitschaft, sich im internationalen Umfeld für mehrere Monate als unparteiischer Militärbeobachter für die UNO einzusetzen; Fähigkeit, persönliche Interessen in den Hintergrund zu stellen; Ziviler Fahrausweis (Kat. B1); Sehr gute Englischkenntnisse, Französischkenntnisse sind von Vorteil

Workload: 100%
Duties: Help our diverse community of scientists in using our computing infrastructure and collaborate within the team to guarantee smooth operations of the environment; Contribute to the configuration and maintenance of the HPC and virtualization environments, and adapt it to the current needs of the research community, following our Infrastructure-as-Code approach; Collaborate with the implementation of security measures, user workspaces, and services in our biomedical IT research environment (sciCOREmed); Contribute to the general Linux operations of the service, depending on interest and skills (storage management, software deployment, support for web applications, IT security); Participate in relevant technical meetings with our partners at the University of Basel and at SIB - Swiss Institute of Bioinformatics
Requirements: Masters in computer sciences or equivalent, or academic degree in a computational domain; Ability to work collaboratively in service operations based on agile and four-eyes principles; Strong experience with Linux systems administration, preferably in an HPC-based research environment; Hands-on experience in configuring, deploying, and supporting web services: incl. application and management services (e.g. access control, monitoring, logging); Hands-on experience with script-based system management (bash, Python) and in using version control systems for configuration management (e.g. git); Knowledge of Linux configuration tools such as Ansible, Terraform, MAAS

Duration: 20 m
Duties: The project will study male-female health differences with an innovative approach. It will analyze differences in healthy years of life, going beyond average indicators (for example healthy life expectancy) to study the entire distributions of years spent in good health; The project activities will include: analysis of international mortality and health prevalence data; application of a mix of statistical and demographic methods; elaboration of the results and preparation of related scientific publications; The following skills are required: knowledge of demographic methods and the basics of probability theory; documented experience with data handling and analysis of large datasets; advanced knowledge of R-language programming; academic English proficiency and ability to draft scientific reports and papers; secs-s/03 - statistica economica
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: You will be a part of an international team developing open-source tools capable of supporting the development of multi-disciplinary and multi-objective optimized wind farm control functions for grid compliance and services. If you have the skills but not the experience in wind energy science, we would still like to hear from you. The same is valid if you feel you only have part of the skills, but the desire and ability to improve on the rest
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Knowledge in one or more of the following fields: Data driven methods ideally with application to wind energy science; Data-driven wind farm layout optimization; Data-driven active power control in large wind power plants; Experience in programming with scientific Python

Duties: Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases that enable and inspire other researchers to analyze protein isoforms
Requirements: As a formal qualification, you must hold a PhD degree (or equivalent); Strong programming skills; Strong background in probabilistic models or strong math/stats background

Duties: Your objective will be to create the bioinformatic tools that databases that enables isoform-level systems biology
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Strong R programming skills; Experience with developing machine learning models, probabilistic modeling or other bioinformatic tools

Duties: Your objective will be to create the bioinformatic tools that enables isoform-level analysis of proteomics data as well as apply them within proteomics
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Strong R programming skills; Experience with applied analysis of proteomics or transcriptomics (bulk/single-cell)

Duties: Hervorragende persönliche Entwicklungsmöglichkeiten durch umfassende Weiterbildung und abwechslungsreiche, herausfordernde Projektaufgaben; zum Beispiel: Modellierung und Konzeption komplexer Systeme, Umsetzung innovativer Protoypen und Begleitung anspruchsvoller IT-Projekte, Einsatz von Data-Science-Methoden und modernster Technologien; Grosse Freiräume beim Gestalten der Organisation, Abläufe und Systeme unserer Klienten und der Zukunft unserer Firma; Arbeiten in freundschaftlicher Atmosphäre im Team mit 100% hoch qualifizierten MINT-Absolvent*innen, bei dem auch der Spass nicht zu kurz kommt
Requirements: Sehr gut abgeschlossenes Studium in Physik, Mathematik, Informatik oder einem anderen natur- oder ingenieurwissenschaftlichen Studiengang; Gute IT-Kenntnisse und Spass an der Technik

Workload: 80-100%
Duties: Du prüfst und recherchierst schweizerische Patentanmeldungen und führst Patent- und Technologierecherchen sowie Patentumfeldanalysen weltweit durch; Du erteilst mündliche und schriftliche Auskünfte an unsere Patentanmelder/-innen und Kunden, hältst Schulungen und nimmst an Veranstaltungen im In- und Ausland teil; Du pflegst den internen Wissensaustausch, um die technischen Kenntnisse und das Patentwissen im Team und in der Abteilung zu erhalten und zu fördern
Requirements: Du verfügst über ein abgeschlossenes naturwissenschaftliches oder Ingenieursstudium, von Vorteil in Maschinenbau, Feinmechanik oder Uhrentechnik; Du bist deutscher oder französischer Muttersprache mit sehr guten Kenntnissen der jeweils anderen Sprache und Englisch; Du verfügst über eine selbstständige, zuverlässige und exakte Arbeitsweise und fühlst dich in einer digitalen Umgebung wohl; Du bist gewohnt, Aufgaben zu priorisieren und parallel zu bearbeiten

Duties: The University of Applied Sciences and Arts of Southern Switzerland (SUPSI) is one of the nine professional universities recognised by the Swiss Confederation. Founded under federal law, SUPSI offers more than 30 Bachelor's Degree and Master's Degree courses, characterised by cutting edge education which unites classical theoretical-scientific instruction with a professional orientation. Great care is given to research, carried out in key sectors on competitively acquired projects with large European and national agencies or mandated by organisations and institutions
Requirements: We crawl all higher jobs in research, teaching and administration at SUPSI 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"

Duties: A Postdoc position is available in the frame of the project “Statistical Mechanics of Active Matter” funded by the FNR. Applicants are expected to have a good experience in statistical mechanics and numerical simulations. The project will focus on dense active matter, combining particle-based and hydrodynamic approaches, using recent methods of optimal control theory and stochastic thermodynamics. The candidate is also expected to take part in the scientific activities organized within Physics of Active Matter group and the Department of Physics and Materials Science, such as seminars, colloquia, and summer schools
Requirements: Excellent analytical and numerical skills; A high quality PhD in Theoretical Physics; Solid knowledge of Statistical Physics; Good written and oral skills in English

Workload: 100%
Duties: This position offers an exciting opportunity to contribute to cutting-edge research in female cancers, working closely with a multidisciplinary and international team of researchers dedicated to understanding the role of tissue microbiota and immune responses in breast and ovarian cancer
Requirements: Ph.D. in Bioinformatics, Computational Biology, or a related field; Background in cancer genomics and cancer immunology; Extensive experience with RNA-seq, ChIP-seq, and scRNA-seq data analysis

Workload: 100%
Duties: We are seeking two highly motivated and qualified Research Fellows to join Promatix's computational biology group and they will be seconded into the Fisher lab for an initial period. The group investigates the evolutionary dynamics of cancer (initiation, progression, response to therapy and emergence of resistance) using computational models. The post holders will be expected to make significant contributions to the development of computational models for the cancers being studied by Promatix/the Fisher lab (e.g., breast & lung cancer). This will involve data discovery, analysis, computational modelling, and experimental validation in partnership with our experimental collaborators.‍
Requirements: Applicants will have a PhD degree in computational biology, computer science, engineering, physics, mathematics or bioinformatics, or a degree in biological science with substantial experience in computational work. Experience in formal verification methods (in particular, model checking, temporal logic, static analysis, SAT solving and program synthesis), logical modelling and statistical analysis are essential. Candidates should have excellent programming skills in Python, MATLAB, and R. Experience in machine learning and proteomics or other omics is desirable

Duties: Carry out research in fields of interest to the research group, such as: Data analytics; Decentralized finance; Distributed ledger technology; Software engineering; Privacy-enhancing technologies, e.g., zero-knowledge proofs; Provide guidance to PhD students; Disseminate results through scientific publications in outlets on the intersection between Information Systems and Computer Science; Support the conceptualization and writing of research proposals to attract industry partnerships as well as national and European grant projects 
Requirements: PhD degree in Computer Science, Applied Mathematics, Applied Physics, Cryptography, Data Science, or a related field; Experience in publishing high-quality research, as demonstrated by research under review or published in 1stquartile conferences and journals (according to Scopus); Experience in research supervision; Strong knowledge of quantitative and/or computational research methods; Proficiency in one of the major programming languages, such as Java, JavaScript, Python, or Rust

Duties: Study the 3GPP New Radio precoding specification for NTN; Perform simulation of precoding and frequency management in SATCOMs systems; Implementation and testing of predefined algorithms on SDR environments; Contribute to the National FNR Bridge project “Pre5GNR: Design and Implement Multiuser 3GPP 5G New Radio Precoding and Dynamic Beam Management for NGSO Systems”; Assisting in organization of relevant workshops and demos
Requirements: The candidate should possess a Master or Ph.D. degree in Telecommunications Engineering, Computer Science, or related fields. Bachelor holder candidates with exceptional experience can also be considered; The ideal candidate should have some knowledge and experience in some of the following topics: Good knowledge on 3GPP New Radio PHY specifications; Test-bed design and implementation on Software Defined Radio, OpenAirInterface platforms; Wireless and/or Satellite communications; Programming skills in at least one of the following: MATLAB, GNURadio/C/C++

Duties: Du übernimmst die technische Verantwortung in einem mixed Projektteam (Kunde & ipt) für die Konzeption und Implementation einer state-of-the-art Front-End-Lösung; Umsetzung von automatisierten und durchgängigen Geschäftsvorfällen (Geschäftsprozessen) mittels Domain-driven Design, reactive Programming, Event-Driven, Data Streaming und Microservice Architekturen; Stakeholder-Management, das Eruieren von Kundenanforderungen und deren Umsetzung
Requirements: Abgeschlossenes Studium (Informatik, Wirtschaftsinformatik, Mathematik, Elektrotechnik, Physik); 5+ Jahre Projekterfahrung von anspruchsvollen Software Architekturen und Full-Stack-Entwicklung; Breites Technologie Verständnis mit hands-on Erfahrung

Duties: Contribute to the national project “INtegrated Satellite-TeRrestrial Systems for Ubiquitous Beyond 5G CommunicaTions - INSTRUCT”; Carry out research in the predefined areas; Disseminate results through scientific publications; Present results in well-known international conferences and workshops; Coordinating research activities and delivering outputs; Implementing solutions; Providing guidance to PhD and MSc students; Organizing relevant workshops and demonstrations
Requirements: The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field; The ideal candidate should have some knowledge and experience in the following topics: Quantum Software Engineering; Program Analysis; Testing; Formal (Protocol) Verification; The candidate should have critical thinking and team working skills; Fluent written and verbal communication skills in English are required

Duties: Participate in research activities involved in the biomedical image analysis. This includes filtering, segmentation, feature extraction, enhancement, implementation and deployment of image analysis algorithms; Participate as a team member in experimental design and data analysis; Coordinate publications related to the project and scientific results; Work in close collaboration with LCSB members on scientific projects
Requirements: Master’s degree or equivalent in bioinformatics, computational biology, medical engineering, computer science, with an interest in biomedical informatics and translational medicine; Hands-on experience of medical image analysis in health research or industry for at least 3 years using MATLAB and/or Python environment; MATLAB; Expertise in Image Processing Toolbox for image enhancement, segmentation, and feature extraction is required. Experience App Designer for interface development are advantageous. (and/or)