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Max Planck Institute for Meteorology | 2 months ago
existing model without substantial modification would not normally meet this requirement. Relevant experience may come from atmospheric, oceanic, planetary, astrophysical, or other computational fluid
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successful candidate will develop and apply experimental and computational approaches to understand gene regulation and disease mechanisms in neural development and to evaluate therapeutic editing
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perturbations. This includes preprocessing large-scale single-cell and multi-omic datasets, defining model architectures, optimizing training pipelines on GPU clusters, and benchmarking against
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, biological engineering, biophysics, or related field plus four (4) years of post-degree experience in computational systems modeling, simulation, and analytics. Experience in metabolic model
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The Department of Computational Mathematics, Science and Engineering (CMSE) at Michigan State University invites applications for a postdoctoral position. Candidates are expected to have received a
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computational models from sources such as: Code repositories Research papers and theses Model-related websites Other linked sources discovered by the AI agents Map the generated metadata to established
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approaches to making cancer cells more responsive to treatment. We are seeking highly motivated individuals to develop and implement innovative computational approaches for analyzing high throughput genomic
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Leave Yes Position Description Advertised Job Summary Join the University of South Carolina’s School of Earth, Ocean and Environment and contribute to innovative computational research addressing
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Leave Yes Position Description Advertised Job Summary Join the University of South Carolina’s School of Earth, Ocean and Environment and contribute to innovative computational research addressing
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foundation models. - Apply free energy and enhanced sampling methods to study molecular systems and support model training. - Collaborate with a multidisciplinary team to connect computational findings with