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/Seurat, count models, batch correction, differential analyses). Strong grounding in statistics (GLMs, hierarchical/Bayesian modeling, multiple testing) and experimental-design principles. Bioinformatics
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. We take a bottom-up approach to robotics and develop soft materials and devices that would enable unusual form and unconventional functions for broader robotic applications. Job description Track 1
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: Graduated from a top-tier university with a doctroal degree in electrical or mechanical engineering, physics or a related subject with an excellent academic track record. She/he is motivated and interested in
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and NETs. In particular, our project focuses on two main objectives: First, we will develop a net-zero roadmap for the Swiss chemical and pharmaceutical industry, which is currently missing. Second, we
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) environments, or Software Engineering. You are expected to have a Ph.D. degree in Mechanical Engineering, Computer Science, Applied Mathematics, Robotics, or related fields with an excellent track record in
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of PhD students in the project Profile We are seeking highly motivated candidates with strong achievements and a proven track record. Applicants must have: A PhD in physics, chemistry, materials science