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measurements, or pollutant modelling; A strong aptitude for experimental and/or computational research; Experience with quantitative data analysis and proficiency in one or more programming or scientific
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the design and experimental characterization of micro- or nanoscale devices Experience in at least one of the following areas: scanning probe microscopy (AFM/STM), piezoelectric/resistive MEMS, low-noise
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, air pollution, exposure science, environmental measurements, or pollutant modelling; A strong aptitude for experimental and/or computational research; Experience with quantitative data analysis and
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Laboratory (https://pietrodeanna.org ) at the University of Lausanne, led by Prof. Pietro de Anna, where the experimental work will be carried out, and with the Theoretical Chemistry group at ETH Zurich (https
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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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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