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under civil law in Freising, is a research institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high
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university degree (Master’s, Diploma) in a scientific subject (e. g. Mathematics, Computer Science, Physics, Bioinformatics, Data Science, or related fields) Desirable: • Excellent programming skills in Python
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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presentations at international conferences Our requirements Completed PhD in Biology, Biotechnology, Bioinformatics, Immunology, or related field Strong interest in computational science and AI (prior formal
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combined micropaleontological and sedaDNA research approach with a focus on phytoplankton groups and possess advanced bioinformatics skills. In addition to physicochemical paleoenvironmental parameters (e.g
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/chemometrics and big data management Proficiency in bioinformatics for linking different -omics datasets Demonstrated experience in writing first author-publications, excellent publication track record in
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institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex
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the research landscape of Göttingen. The excellent biological, ecosystemic, environmental and mathematical research in Göttingen is reflected in this PhD programme. Sub-programmes: bioinformatics (computational
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imaging and analysis methods together with an interdisciplinary team of physicists and structural biologists. Your Profile: Master degree in biophysics, bioinformatics, molecular or cell biology or related