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the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science
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lab approaches with deep bioinformatic analysis of the obtained data. We are looking for a talented and motivated PhD student candidate with a strong background in wet-lab molecular techniques and
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evolution, ecotoxicology, marine biology, plant physiology, systematics, and environmental and climate science. Presently around 100 people, including 35 PhD students and 10 postdocs, in 25 research groups
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approaches (QM/MM, molecular dynamics, free energy methods, machine learning). The PhD candidate will work closely with other PhD students, postdocs and senior scientists of the lab in an interdisciplinary
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approaches (QM/MM, molecular dynamics, free energy methods, machine learning). The PhD candidate will work closely with other PhD students, postdocs and senior scientists of the lab in an interdisciplinary