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Field
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
. We seek highly motivated scientists with expertise in computational genomics/AI and/or translational cancer biology to join our dynamic, well-funded research program at the frontier of cancer genetics
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optimization code used, particularly for automated transition state searches. • Perform molecular dynamics simulations to estimate thermodynamic/macroscopic properties. IPREM brings together over 300 staff
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(iv) writing reports and scientific articles. This work will be carried out in close collaboration with researchers from the Institute of Molecular Sciences in Bordeaux and the Institute of Chemical
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investigate the dynamics of regulatory networks at the interface of arbuscular mycorrhizal symbiosis and nitrogen-fixing bacteria colonization using molecular biology, proteomics and bioengineering approaches
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advances in mass spectrometry now make it possible to detect proteins at true cytokine-level concentrations with high sensitivity and molecular specificity. Targeted proteomics, in particular, enables
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candidates working on related topics, including nanoparticle database curation, molecular dynamics-based transport modelling, and reinforcement learning for treatment optimization. Contribute to high-impact
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, metabolic enzymes). Experience with developing protein binders (e.g. nanobodies). Experience with molecular dynamics simulations. Strong quantitative assay development/analysis skills; experience bridging
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will be processed for the purpose of the recruitment procedure by the International Institute of Molecular and Cell Biology in Warsaw. Full information is available under the link: https://bit.ly/3UFWpY2
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investigate the dynamics of regulatory networks at the interface of arbuscular mycorrhizal symbiosis and nitrogen fixing bacteria colonization using genetics, molecular biology and cell biology approaches
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Organic Memristors (CKCOM) project focuses on the development of a new generation of molecular memory and logic elements based on proton quantum tunneling. The aim is to advance energy-efficient