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for an engaged postdoctoral researcher, who is an expert in qualitative methods and that has an interest in cooperatives. The work will involve: Conducting qualitative comparative analysis (QCA) to examine factors
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). The position will focus on computational analysis and modeling of links between human microbiome and cancer. The selected candidate will develop and apply data science methods, contribute to data processing
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astrophysics is considered as an asset Proficiency in computational methods, programming (e.g., Python,..) and data analysis Mentoring of less experienced team members (i.e. students) Ph.D. degree in nuclear
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current micro-test systems of fibres and fibre-matrix systems. This requires laboratory work with materials testing electronics and codes. Alongside, high-fidelity numerical analysis is needed to understand
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manufacturing (printing, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR
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methods of the research project are philosophical analysis and model-building. Responsibilities The main task of the appointed researcher is to conduct research into epistemological issues where the notion
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AI, Natural Language Processing, or clinical data analysis. Excellent analytical and problem-solving skills. Interest in collaborative research with both academia and industry. Good communication