Karrierprogram állások, munkák kutató kategóriában

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

PhD Student in Forecasting Resistance Spread and Epidemiological Impact (100%) The Swiss Tropical and Public Health Institute (Swiss TPH) is a world-leading institute in global health with a particular focus on low- and middle-income countries. Associated with the University of Basel, Swiss TPH...

• Perform integrative analyses combining multi-omics data with eye imaging data
• Contribute to ophthalmic data collection and processing
• Contribute to omics data processing, statistical analyses, and the preparation of manuscripts for publication in peer-reviewed journals

PhD Student in Electronic-Structure Machine Learning for Materials The Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies, energy and climate, health innovation and...

Mitwirkung an Planung, Durchführung, Auswertung und Publikation von Forschungsprojekten der Professur Unterstützung der Lehre der Professur im Umfang von 2 SWS, einschließlich Erstellung und Überarbeitung von Studienmaterialien Durchführung von Lehrveranstaltungen Betreuung von Bachelor- und...

PhD Student in Quantum-Mechanical Simulations of Muons in Materials The Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies, energy and climate, health innovation and...

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a Master's thesis following your internship

• Learn and perform immunology techniques (differentiation of monocytes to macrophages, flow cytometry, FACS sorting).
• Learn and perform molecular biological techniques (targeted metabolomic analysis, qPCR, western blot).

• Training and inference of distributed systems
• Development of cloud-native infrastructure
• AI operationalisation (“MLOps”)
• Efficient data storage, management, and connection
• Latency or resource restrictions in AI applications
• Hardware implementations on graphics processing units