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field Background in programming languages, formal methods, or networking Research experience in one or more of: language design and semantics, automata theory and decision procedures, interactive
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languages, systems, or ML Research experience in one or more of: interactive theorem proving (Rocq, Lean, HOL, Isabelle, or similar), GPU programming or semantics, compilers, concurrency, or ML systems (e.g
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cell biology and next generation sequencing. Experience in droplet-microfluidics, including use of commercial devices such as the 10X Genomics platform is beneficial, but not absolutely crucial. For two
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on ongoing projects. We welcome young scholars in entrepreneurship, strategy, and technology and innovation management, using quantitative, qualitative or experimental methods. The Chair's research appears in
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postdoctoral position is available in the laboratory of Prof. Alex Persat (EPFL School of Life Sciences, https://www.p-lab.science/ ) to establish a new image-based drug screening platform targeting gram
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year. Eligibility criteria Ph.D. in Biochemistry, Biology or related sciences, excellent research background. Experience in Immunology, FACS, FELASA animal experimentation preferred. Selection process As
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designing and running large-scale experiments, developing fine-tuning and reinforcement learning approaches, and studying how LLMs can generalize more reliably across tasks and reasoning domains. We
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quantitative and analytical skills, incl. programming (Python, MATLAB, or similar) Experimental laboratory experience in drug formulation, nanoparticle/microbubble synthesis, colloid chemistry, or related fields
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chemistry, photonics, laser physics or a closely related field, completed by the starting date A strong publication record demonstrating independent experimental research Substantial hands-on experience in
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as