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interactions that determine formulation stability and performance. The research will employ atomistic molecular modeling grounded in statistical mechanics to investigate binding thermodynamics and molecular
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The Section on Molecular Neurophysiology and Biophysics at the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), in
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into this type of research: actual nerve biopsies from patients with Charcot-Marie-Tooth neuropathy due to YARS1 mutations, along with matching iPSC-derived motor neurons and Drosophila models. Now, we
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. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational
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[at]ssmeridionale.it Modeling and engineering risk and complexity [MERC] Coordinator: prof. Mario di Bernardo Info: merc[at]ssmeridionale.it Molecular sciences for earth and space (MOSES) Coordinator: prof. Nadia Rega
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Job Id: 11732 Fixed-term of 3 years | Part-time with 65%| Salary according to TV-L E13 | Institute of Molecular Tumor Biology (IMTB) We are UKM. We have a clear social mission and, with our focus
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PhD Student (gn*) Cellular Neurosciences Job ID: 11907 Fixed-term initially limited to 3 years | Part-time with 65% | Salary according to TV-L E13 | Institute of Anatomy and Molecular Neurobiology
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! The position is located in the research group of Timo Strünker (Molecular Reproductive Physiology) and embedded in the DFG-funded Collaborative Research Centre 1748 ‘Principles of Reproduction’. The CRC 1748
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
Department of Molecular Medicine at SDU is looking for applicants for a PhD scholarship within the field of biomarker and therapeutic target investigations in biliary atresia. We are looking for a
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics