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: Utilize specialized chemometric and bioinformatics platforms (e.g., MZmine, Compound Discoverer, MetaboAnalyst, XCMS, R/Python packages) for automated feature detection, elemental composition determination
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of the digital ASIC-design flow is required: logic synthesis, timing analysis, power simulation, logic equivalence, DFT and/or P&R. Knowledge of FPGA-development is a plus. Knowledge of low-power designs is a plus
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conducted in English, the following knowledge will be verified (maximum 65 points): Programming skills (Python, R, or equivalent) (maximum 20 points); Artificial intelligence, machine learning, and/or large
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of computational linguistics; d) experience in statistical analysis and in the use of dedicated software (e.g. R); e) experience with programming software (e.g. Python). Selection process Together