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openness to interdisciplinary collaborations Expertise in some area of computer science such as computational complexity, algorithms, data structures, logic in computer science and AI, semantics, theory
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and and experience in computational methods applied to structural biology. A strong publication track record.
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cross-disciplinary research programme in molecular structural biology, addressing key questions in RNA and infection biology, eukaryogenesis, and the muscle cytoskeleton. The Unit's research efforts focus
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bridging disciplines and fostering collaboration between researchers, policymakers, and society. Your role Build up and manage the synthesis science team of LCSES (approx. 4 people) and represent your team
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, Environmental Science, or related disciplines Proven expertise in environmental science and data-driven research as PostDoc Experience in acquiring third party funding in the relevant fields of data science
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dedicated to the study of fundamental mechanisms underlying cellular processes and their links to human pathologies. Research areas covered include RNA biology, epigenetic regulation, cell cycle regulation
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of the biological bases of normal and pathological behaviors. Required Qualifications: PhD or equivalent experience in neuroscience, computer science, engineering or a related field. Proven experience in
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have a PhD in computer science, mathematics, physics, or related fields, with a passion for programming. A desire to contribute to the development of open-source software within the context of the agreed
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Sophia Agrobiotech) and LP2M (Laboratoire de PhysioMédecine Moléculaire) as well as the Inria research institute for computer science and applied mathematics. DYNABIO is dedicated to advancing cutting