Aufgaben: Serve as the senior technical leader within the team, providing guidance and best practices in machine learning to team members; Develop and refine advanced analytical solutions, utilizing Mastercard's extensive global data assets and software platforms; Architect and lead the design and implementation of sophisticated data models and algorithms, steering complex data science initiatives from conception through to execution; Lead the creation of architectural decision records to document important decisions made regarding data processing and modeling; Collaborate closely with cross-functional teams to integrate data science into broader business strategies
Anforderungen: Background in the financial industry, providing a deep understanding of the sector's unique data challenges and effective solutions; Strong experience in Python or any other data science programming languages; Extensive expertise in statistical modeling, machine learning algorithms, and predictive analytics; Proficiency in big data technologies like Hadoop, Spark, or similar frameworks; Excellent skills in data visualization and interpretation

Aufgaben: Work with multidisciplinary team of engineers, software developers, and technicians in the execution of complex research and development, design and programs in support of national security; Design, develop, integrate, test and deploy new signal processing capabilities in the areas of energy detection, channelization, signal recognition, signal demodulation/decoding & encoding/modulating, RF geolocation and electronic warfare; Work with a team of engineers, software development staff and technicians to create innovative solutions that include antenna arrays, RF processing hardware, and extensive software processing capabilities including application of machine learning techniques
Anforderungen: Requires a Bachelors in Electrical Engineering, Electrical and Computer Engineering, or Computer Engineering; Must be familiar with telecommunications and communications signal processing with understanding of radar system concepts and waveforms; Over-the-horizon radar (OTHR) processing experience; Proficiency with Linux and C/C++ required; Familiarity with Python and Matlab

Aufgaben: Works collaboratively with the Project Principal Investigator (PI) and multiple research staff to achieve project goals; Plays an integral, collaborative role in leading and organizing the data analytics team; Directs project analysts and data managers, and ensures quality and accuracy of work, realistic deadlines are set, and appropriate resources are available to accomplish tasks. Regularly monitors progress to ensure that critical elements are proceeding on schedule; Works with PIs to formulate and write analytical plans for grant proposals, research projects and manuscripts; Performs statistical analyses and prepares corresponding statistical and project status reports
Anforderungen: Bachelor's Degree required; Minimum of 9-10 years experience required; Must be proficient in SAS and R, including programming and use of statistical procedures; Must have demonstrated knowledge of and experience with statistics and study design

Aufgaben: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models; Responsible for improving use-ability and flexibility of the machine learning infrastructure; Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems; Responsible for designing and developing key components of ML infrastructure and mentoring interns; Support the production of scalable and optimised AI/machine learning (ML) models; Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
Anforderungen: B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions; Proficient in C/C++/Python, and have solid programming skills; Familiar with deep learning frameworks (TensorFlow/Pytorch); Experience in developing and deploying large-scale systems

Aufgaben: Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions; Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc; Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc
Anforderungen: Bachelor’s degree in Computer Science, a similar technical field of study or equivalent practical experience. A PhD degree in Machine Learning or Deep Learning is a massive plus; 5+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring. Industry Experience in applied ML in Ads is a massive plus; 3+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages; Strong understanding in software engineering best practices

Aufgaben: Design, develop, test, and deploy web applications and services using contemporary programming languages, frameworks, and tools for both front-end and back-end development; Develop products and prototypes in areas such as LLM (Large Language Model), NLP (Natural Language Processing), DL (Deep Learning), ML (Machine Learning), etc; Collaborate with partners and customers to deliver high-quality and cost-effective solutions; Lead the software production process; taking ownership of assigned features from inception to completion, including mockups, design documents/reviews, acceptance testing, and deployment
Anforderungen: BSc, MSc, or Ph.D. in Computer Engineering, Computer Science, or related fields; +3 years of hands-on experience in developing web applications across diverse industries; Proficiency in multiple programming languages such as Python, Java, and/or JavaScript, with knowledge of UI frameworks like ReactJS and Angular being advantageous; Demonstrate understanding of data structures, data modeling, and software architecture; Hands-on experience in web/cloud and mobile application development for AI and ML-based solutions

Aufgaben: Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses; Ensure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51; Leverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms; Define high-level migration plans to address the gaps between the current and future state; Contribute to the development of cost/benefit analysis for leadership to shape sound architectural decisions
Anforderungen: Bachelor's Degree in computer science, software engineering, or related field; 4+ years experience in the data development and principles including end-to-end design patterns; 4+ years proven track record of delivering large scale, high quality operational or analytical data systems; 4+ years successful and applicable experience building complex data solutions that have been successfully delivered to customers

Aufgaben: Partner closely with Infrastructure Machine Learning Engineers to build systems designed to improve our extensive infrastructure; Help Infrastructure Machine Learning Engineers maintain and support existing systems; Use your experience supporting existing systems to inform how we can improve support processes to allow us to scale effectively; Help evangelize this work with the broader Algos and ML community at Netflix
Anforderungen: A strong coder with experience in Python and standard ML frameworks like PyTorch and TensorFlow. Experience with languages like Java or C++ is a plus; Some experience in implementing and productionizing models in large scale industrial settings is a plus; Familiarity with optimization models with standard frameworks/solvers (e.g., XPress, cvxpy, Gurobi); Familiarity with operational tooling for ML services (monitoring, alerting, etc.), and services for model hosting/serving

Aufgaben: Performs actuarial pricing for Group Benefits Solutions products, including Life, Accident, Long Term Disability, Short Term Disability, and Absence products and services. Works with Underwriters to develop proper rate adjustments based on client risk profiles, special plan designs, and considerations from profitability, market competitiveness, and market strategic recommendations. Performs case-specific risk assessments to develop appropriate premium rates for a given risk to support the market’s growth and profitability goals
Anforderungen: Bachelor's degree in Economics, Finance, Statistics, Mathematics or Actuarial Science (willing to accept foreign education equivalent) plus three (3) years of experience performing actuarial services for insurance or annuity products

Aufgaben: Prepare Medicare Advantage bids submitted to CMS annually; Conduct data analysis and prepare reports for Medicare Advantage submissions; Understand and interpret the key drivers of health care trends; projecting expected revenue and cost; Develop pricing methodologies and assumptions; Conduct and evaluate studies on pricing, utilization and health care costs
Anforderungen: ASA Credential or greater; 5+ years of Actuarial experience; Experience working with Medicare Advantage; Expertise working with large tables of data, formulas, and calculations in MS Excel

Aufgaben: The postdoctoral researcher will conduct statistical analyses of high-dimensional data collected from healthy control individuals and patients with Alzheimer's disease and other neurodegenerative diseases. The analyses will particularly focus on proteomics, both in our own large cohorts led from Lund and Malmö and in cohorts from other sources that we analyze in various collaborations. We utilize state-of-the-art proteomic methods, such as OLINK Explore HT, SomaScan, and NULISA. The project also involves integrative omics analyses, where proteomic data can be analyzed alongside genetics, metabolomics, and quantitative neuroimaging and neuropathology
Anforderungen: Completed PhD in engineering, bioinformatics, genetics, statistics, computer science, mathematics, computational biology, or a related discipline; Good knowledge of bioinformatics/statistical programming, eg in R, Python, or MATLAB; Experience with high-performance computing (HPC) environments and/or parallelized job submission; Good knowledge of oral and written communication in English

Aufgaben: Regular mentoring of Ph.D. and postdoctoral scientists carrying out microbiome research, which includes bioinformatic screening for microbiome-derived bioactives, microbial and mammalian cellular growth and phenotyping assays, and gnotobiotic mouse screens
Anforderungen: Ph.D. in Molecular Biology, Computational Biology, or related fields, with advanced research skills and at least 5 years of related experience. Combination of molecular biology and computational expertise preferred

Aufgaben: Sie erhalten Einblicke in die Lebensversicherung mit Schwerpunkt Asset-Liability-Modellierung und Solvency II. Hierzu zählen die Modellierung von Produkten in RiskAgility FM, die Implementierung von aktuariellen Annahmen und Managementregeln sowie die zahlreichen Einsatzmöglichkeiten des Unternehmensmodells; Darüber hinaus lernen Sie die Prozesse im aktuariellen Bestandscontrolling kennen und unterstützen bei Projekten zur Optimierung dieser Prozesse; Sie bekommen auch auch die Gelegenheit, Ihre Programmierkenntnisse auszubauen
Anforderungen: Sie studieren (Wirtschafts-)Mathematik, Informatik oder Physik; Sie verfügen idealerweise über Vorkenntnisse in den Bereichen Versicherungs-/Finanzmathematik sowie Programmierkenntnisse; Sie bringen gute analytische sowie kommunikative Fähigkeiten mit und Ihre Arbeitsweise zeichnet sich durch Zuverlässigkeit, Genauigkeit, Verantwortungsbewusstsein und Teamfähigkeit aus; Sie sind während Ihres Praktikums an einer Hochschule immatrikuliert

Aufgaben: The Department of Finance at the Faculty of Management, Dalhousie University, invites applications for a twelve-month limited-term appointment at the rank of Lecturer or Assistant Professor, starting August 1, 2024 (negotiable)
Anforderungen: A PhD or Masters degree in a relevant field (e.g. an MBA), or equivalent professional accreditation

Aufgaben: Sie verbessern das Sicherheitsniveau durch Beratung und gezielte Vorschläge; Sie arbeiten fachbereichsübergreifend mit Expertinnen und Experten aus verschiedenen Bereichen der Informationssicherheit, wie zum Beispiel der Sensorik und Forensik, zusammen; Sie unterstützen bei Massnahmen zur Sicherheitssensibilisierung; Sie unterstützen bei der Expansion der IT-Sicherheitsinfrastruktur im Inland und in den Einsätzen der Bundeswehr; Sie erstellen Beiträge zur Cyber-Lage, d.h. Sie werten Ergebnisse aus, beurteilen diese und geben Handlungsempfehlungen; Sie nehmen an nationalen und internationalen Konferenzen teil, um die Aktivitäten der eigenen IT-Sicherheitsorganisation mit NATO-Mitgliedern und -Partnern abzustimmen
Anforderungen: Sie haben ein abgeschlossenes technisches Fachhochschul- oder Hochschulstudium; Sie besitzen die deutsche Staatsbürgerschaft; Sie sind bereit, sich bundesweit versetzen zu lassen; Sie erklären sich dazu bereit, an Auslandseinsätzen der Bundeswehr teilzunehmen; Als Soldatin bzw. Soldat auf Zeit beträgt Ihre Dienstzeit in dieser Laufbahn mindestens 3 Jahre

Aufgaben: Design, implement, and operate robust, scalable genomic data processing pipelines using Nextflow on AWS; Manage pipeline results using big data technologies (e.g. distributed databases); Manage pipeline-related assets to ensure that they are findable, accessible, interoperable and reusable; Apply best practices for version control, testing, and documentation; Ensure data quality and integrity by implementing and maintaining rigorous quality control and data validation procedures; Collaborate closely with platform scientists, data scientists, and data engineers to solve complex data processing and analysis challenges
Anforderungen: MSc or PhD or equivalent in bioinformatics, computational biology, computer science, or similar discipline; 3-plus years of post-graduate or industry experience developing high-throughput bioinformatic data processing pipelines; Experience in NGS mapping, variant calling and variant analysis preferred; Experience in bioinformatics workflow frameworks (NextFlow), version control systems (Git), Cloud (AWS preferred), and containers (Docker preferred); High level of proficiency in Python or equivalent and Linux

Aufgaben: Work within an interdisciplinary team of molecular biologists, computational biologists, software engineers, and scientific leaders focused on developing diagnostic products using massively parallel sequencing of tumor genomic DNA and RNA; Lead development of algorithms and new computational methods for identifying clinically-relevant alterations in tumor DNA and RNA derived from clinical cancer specimens, potentially leading a small team; Enhance and optimize existing methods, improving their assay capabilities as well as their technical robustness; Perform or oversee collaborative software development and validation efforts
Anforderungen: Master's Degree or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field; 3+ years working in NGS based diagnostics or research; Academic or professional study/work with molecular biology and/or genomics; Familiar with one or more of the following programming and scripting languages: Python, Java, R, or C++

Aufgaben: Contribute to the 0-1 build of multiple AI products; Design and build high-quality, highly reliable products with user experience at the centre; Be responsible for engineering innovative, best in class AI platforms for the bank; Creating firsts in the Generative AI space for Citi as part of the team that defines the strategic direction for the bank; Continually iterate and scale Generative AI products, whilst listening to the needs of the customers (internal); Mentor and nurture other engineers to help them grow their skills and expertise
Anforderungen: Deep hands on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale; Fluency in at least two programming language, with preference for Python, Javascript/Typescript, Golang; Experience designing control and sandboxing systems for AI research; Pytorch, TensorFlow experience; Experience maintaining and/or contributing to bug bounty and responsible disclosure programs; Understanding of language models and transformers

Aufgaben: Provide sound statistical and operational input, including study and program design, writing of the protocol sections, statistical analysis plans (SAP), clinical study reports (CSR), regulatory documents or scientific publications; Partner with cross functional teams to provide strategic biostatistics input to support entire drug development process; ensure statistical integrity of all key deliverables; Provide statistically sound scientific methodology for study design and data analysis input to meet project objectives in accordance to regulatory guidance and industry standards; Collaborate with the programming and data management functions to ensure appropriate data collection and reporting; Provide leadership in evaluating alternative or innovative methods of study design and analysis; Assist in efforts to identify, develop and implement departmental standards, applications, processes and training; Oversees statistical and programming deliverables by CROs
Anforderungen: PhD in Biostatistics or a related field with a minimum of 5 years of relevant experience in pharmaceutical or biotechnology drug development; Understanding and experience with various aspects of a clinical development life-cycle, leading up to regulatory submission and post-approval activities; Experience interacting with and overseeing biometrics services of CRO vendors; Proficiency in the use of statistical software including SAS and R at minimum; familiarity with East and Sportfire

Aufgaben: Providing input on study design within protocols; Writing statistical analysis plans and preparing associated table shells, with the support of more experienced members of the team; Leading the execution of psychometric analyses and interpreting results, with awareness of regulatory requirements; Drafting and reviewing study reports, publications, and other deliverables; Presenting the results of psychometric analyses externally and liaising with clients on psychometric queries; Serving as a psychometric consultant internally for Adelphi Values; Providing internal training on relevant psychometric methodology
Anforderungen: Masters in statistics, psychometrics, psychology, educational measurement, or a related field; or equivalent experience; Knowledge of relevant psychometric methods; Knowledge of latent variable models including factor analysis and item response theory

Aufgaben: As we enhance our partnership with the United States Navy in protecting our nation’s citizens and security assets, we seek technical talent to partner with us as we strive to exceed expectations and expand our footprints
Anforderungen: BS Plus 4 Years experience or Master's of Science Plus 2 Years experience OR Ph.D in one of the following specialization: (Mathematics, Computer Engineering, Computer Science, Statistics, or Data Science)

Aufgaben: Unterstützung der Kolleginnen und Kollegen bei allen Aufgaben im Bereich der betrieblichen Altersversorgung; Erstellung von Rentenbescheiden und Leistungsausweisen; Verarbeitung von Personaldaten für die Erstellung von versicherungsmathematischen Gutachten; Unterstützung bei Kundenanfragen per E-Mail oder Hotline; Allgemeine Büroarbeiten
Anforderungen: Laufendes Studium der (Wirtschafts-) Mathematik, Betriebswirtschaft mit finanzwirtschaftlichem Schwerpunkt oder einer vergleichbaren Studienrichtung; Zeitliche Verfügbarkeit: schnellstmöglich bis 20 Stunden pro Woche; eine ausgeprägte Kommunikationsfähigkeit; Organisationstalent

Aufgaben: Graz University of Technology is a public research university located in Styria, Austria. It was founded in 1811 and is the oldest science and technology research and educational institute in Austria. It currently comprises seven faculties and is a public university. It offers 19 bachelor's and 35 master's study programmes (of which 18 are in English) across all technology and natural sciences disciplines
Anforderungen: We crawl all higher jobs in research, teaching and administration at TU Graz 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"

Aufgaben: We tackle future issues and take responsibility for the entire region of Southern Austria. With 30, 000 students and 4700 employees, we make a decisive contribution to the vibrant life of the Styrian capital. We work for tomorrow - this motto guides the students and scientists at the University of Graz: They look to the future, take on challenges and develop solutions for the world of tomorrow
Anforderungen: We crawl all higher jobs in research, teaching and administration at KFU Graz 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"

Aufgaben: Die Spital Davos AG bietet eine umfassende Gesundheitsversorgung für die Bevölkerung, Zweitheimische und Gäste. Unsere Spezialistinnen und Spezialisten aus Chirurgie und Orthopädie, Innere Medizin, Betreuung und Pflege, aber auch Sport und Prävention halten Sie gesund und unterstützen Sie im Alltag. Mit dem Pflegeheim Alberti, der Spitex Davos, dem Rettungsdienst und der Kinderkrippe Mandala verfügen wir zudem über weitere Betriebe direkt im Haus
Anforderungen: We crawl all higher jobs in research, teaching and administration at Spital Davos AG 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"