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at the Department of Clinical Neurosciences and the John Van Geest Brain Repair Centre. The position is part of a collaborative Wellcome Discovery Award, to characterise novel cellular models of mitochondrial disease
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Yang (Research Team Leader at MPIC). The project aims at developing AI-powered molecular modeling tools to uncover how molecules form atmospheric aerosols — tiny particles with huge impacts on climate
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Eligibility criteria The candidate must have a strong background in materials physics, atomistic simulation, or numerical modeling. Experience in molecular dynamics and handling force fields is required
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Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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A senior postdoctoral position is available for an ambitious individual to carry out the molecular modelling of cellulose oligomers investigating the self-assembly of the polymer in the plant cell
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therapy studies in small and large surgical animal disease models. Acquires and analyzes physiological data relevant to the model system. Performs tissue harvest and molecular/imaging analysis (immunoblot
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verbal communication skills. Preferred Experience Prior research experience in: neuroscience, cell and molecular biology, cancer biology. Experience in glioblastoma mouse models, signal transduction
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genomic or molecular datasets Background in Bayesian statistics, causal inference, or probabilistic modelling. Familiarity with modern AI architectures and foundation models. Organizational and social
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Rutgers Cancer Institute - Cancer Metabolism and Immunology | New Brunswick, New Jersey | United States | about 23 hours ago
translational cancer research, with access to approaches including molecular and cell biology, biochemistry, animal models, immune profiling, metabolomics, and bioinformatics. Postdoctoral researchers benefit
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at the Translational Neuropsychiatry Unit, Department of Clinical Medicine. The group combines in vivo molecular PET imaging and postmortem autoradiography in translationally relevant animal models of depression and