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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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biodiversity research? LUT University is hiring a post-doctoral researcher to develop analysis methods for environmental and wildlife data, with applications in biodiversity monitoring and sustainable resource
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with neuroimaging analysis, PET quantification, or clinical research is an advantage. Good command of the English language (written and oral) as well as skills for teamwork in a multidisciplinary
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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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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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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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, Python-language and scripting as well as Linux and HPC environments. Previous experience in model evaluation, statistical data analysis, and machine learning are seen as advantages. The position involves
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experience in model evaluation, statistical data analysis, and machine learning are seen as advantages. The position involves attending international conferences and presenting scientific or technical work in
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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