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) student position for the fellow to lead and supervise, combining independent research with genuine leadership experience. A structured opportunity to build the track record needed for a future, tenure-track
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This position is funded through the University of Basel's Stay on Track program, which aims to support female postdoctoral researchers returning to work after maternity leave. Starting on: 01/09
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Interest in lab-automation and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The ability to collaborate in a
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. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely
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cancer biology, genetics, and epigenetics. The ideal candidate will have a proven track record of scientific excellence, demonstrated through high-quality publications. The position is available in
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, consumables and laboratory supplies. ● Place and track orders and communicate with suppliers and institutional services. ● Maintain laboratory inventories, equipment records, safety documentation and shared
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, psychology, mathematics, or a related field. While you will bring your own specialization, you must possess: Strong analytical skills and a track record of planning and conducting empirical research
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tasks in close interaction with the PI and lab members. Integrating behavioral task events with physiological acquisition systems, movement tracking, positioning data and experimental logs. Establishing
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-immune communication, and disease biology Experience with in vivo models and/or complex experimental systems A track record of scientific productivity appropriate to career stage The ability to work
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results-oriented team player. Ideal profile includes following competencies and experience: Strong programming skills, deep statistical knowledge and a proven track record with machine learning Solid