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Field
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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: Doctoral degree conferred prior to start date Research experience in molecular biology, cell biology, biochemistry, iPSC models, mouse genetics Record of research productivity and publication Integrity
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of developments in production of samples for structural biology using mammalian and bacterial expression systems and cell-based in vivo models of mechanotransduction. You will join a very lively and motivated
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
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. Interested, qualified candidates can submit their cover letter, CV, and supporting documents to: https://unmc.peopleadmin.com/postings/96054 Required Qualifications PhD in cancer biology, molecular/cellular
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an excellent work ethic and background in molecular simulation and machine learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu/ ) formerly RCI – is a biomedical research center focusing on translational immunology in the fields
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investigates how radiation therapy shapes tumor–immune interactions, leveraging preclinical models and clinical samples from phase 1 trials. Our goal is to bridge molecular insight with clinical translation