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of energy-aware planning and scheduling in manufacturing, -experience in programming (Python, C/C++, Java, etc.) and implementing intelligent automation, -previous participation in EU or international
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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(e.g., in MATLAB or Python) Strong publication record in leading Q1 journals and top-tier international conferences Excellent communication and presentation skills in English Independent, curious, and
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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spectrometry, or a related field. Strong Python and R skills for omics data processing, QC, statistical testing, and visualization to support biological discovery Solid foundation in statistical and quantitative
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, Systems Biology, Computer Science, Biochemistry related to proteomics and mass spectrometry, or related field. Proven methodological and research expertise Strong Python and R skills for omics data
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measurements in animals and programming with Python/Matlab is a meritorious achievement. Documented experience with calcium imaging and/or optogenetics, as well as behavioral measurements is particularly
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equivalent competence. Solid programming skills in Python or R, especially for biological image data analysis and protein expression data visualization Excellent communication skills in English, as required in
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parallel computing systems. Familiarity with git and GitHub. Experience building pipelines for the processing of medical images. Fluency in Python programming language. Familiarity with Bash. Excellent