11 computer-programmer-"https:"-"Inserm"-"FEMTO-ST"-"https:" uni jobs at University of Basel
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Your position With your application you agree to our terms of participation . In principle, attendance is required at all program elements. Failure to attend may result in exclusion from the program
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-dimensional datasets. Your profile • PhD in neuroscience, computational neuroscience, or related quantitative discipline (neuroscience background required). • Strong expertise in neuronal data analysis (spike
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Biozentrum of the University of Basel is
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analysis, the development of analytical and forensic methods, medical 3D printing, and biomaterials are among the areas in which we conduct research. The DBE offers a PhD program and together with the FHNW a
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. Specifically, it comprises: Supporting the development of flipped classroom courses (e.g., for the Pathways to Sustainability course program); Conducting a market analysis of existing courses in the field
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for peacebuilding professionals from around the world. To support the Dealing with the Past Program we are looking for an Intern (100%) Dealing with the Past. Starting date: 1 February 2026 or by agreement Duration
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the University of Basel. Specifically, it comprises: Supporting the development of flipped classroom courses (e.g., for the Pathways to Sustainability course program); Conducting a market analysis of existing
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Transcriptomics Specialist (this position); Image Analysis Specialist; Computational Neuroscience and Data Analysis Specialist. These positions will work closely together and will support a broad user base across
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Group: Analytics & Informatics for Child Health (AICH) Starting date: As soon as possible or upon agreement Duration: 2 years, with possibility of extension The Analytics & Informatics for Child
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Your profile We seek candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation & continual learning, agentic AI, uncertainty estimates, scalability and efficiency, personalized...