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100%, Zurich, fixed-term The modeling of nano-scale devices such as field-effect transistors or memory cells consists of predicting and optimizing the performance of not-yet fabricated components
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either one of the following areas : the theory of automorphic forms, applications of automorphic forms to harmonic analysis and differential equations, optimal configurations of points in geometric spaces
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involve: Investigate the effects of pressure and temperature on plasma-driven reactions. Design and conduct experiments for CO2 conversion, CH4 pyrolysis, and their combined conversion to identify optimal
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Responsibilities: Quantitative in situ and in vitro imaging studies related to cytokine signaling and cell-cell interactions. Design and optimization of multiplexed fluorescence imaging, in situ single-molecule
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from rice straw and rice husks to promote sustainable resource use. Key responsibilities include: Researching material formulations and chemical treatments to optimize panel performance Performing
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, adapt, optimize and validate analytical methodologies for quantifying microplastics in complex food matrices. Identifying the relevant types of plastics and their origins Prepare and execute together
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of optimization tools. Programming skills in scientific languages such as Python, Julia, Matlab, or GAMS. A strong track record of publications in peer-reviewed journals. Demonstrated ability to work effectively in
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Analyzing experimental data and optimizing protocols This position is full-time, with flexible starting dates in 2025. Profile A PhD degree in physics or relevant fields Prior experience in experimental