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, including robotic control, mechanics of materials, fluid mechanics and biological systems, in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer
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Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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regulating molecular responses to cancer therapies in human induced pluripotent stem cells) data for elucidating molecular mechanisms for health outcomes; and 3) evaluating health disparities through
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biology in health and disease. The Abraham lab studies gene expression-regulation mechanisms. We are recruiting computational biologists to collaboratively develop software approaches to analyze high
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Context The Lymphocytes B Autoimmunity and Immunotherapies unit is seeking a highly motivated postdoctoral researcher to advance our understanding of the cellular mechanisms in the inflamed salivary
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recruiting highly motivated postdoctoral researchers. Our lab is performing high profile research in studying the molecular mechanisms that control programmed cell death and its impacts on inflammation
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genome-wide CRISPR functional screening in both mouse models and clinical samples. Working closely with computational biologists and clinicians, this interdisciplinary project offers an exceptional
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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
(Fe) and helium (He) ions are employed to simulate fusion-relevant damage mechanisms. The objective is to experimentally replicate effects such as hardening, embrittlement, and swelling, and to clarify
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
of Magnetic Resonance Imaging (MRI). Building on the various contrasts mechanisms available in multi-parametric MRI, we aim to establish deep learning models that predict biomarkers of diseases progression and