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environmental catastrophe, historic levels of inequality, health, economic and social crises, etc. The Department exercises leadership internationally in political economy, development and heterodox economics
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medicine. The successful candidate will join a multidisciplinary team developing AI-driven approaches to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets
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NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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PIs, publish manuscripts, and apply for career development grants. Develops statistical and generative AI models for single-cell and spatial data from the Martin Lab and multimodal (genetic, imaging
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 5 days ago
environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in their natural
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non-academic sectors to co-develop experimental methods to address health challenges. The Role Applications are invited for a Postdoctoral Research Associate to support the 3-year project ' Amplifying
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basic and applied engineering research, workforce development and technology transition. Our collaborations with industry, academia and government provide cutting-edge solutions to global technical
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with manuscripts and printed sources, visit archives, investigate datasets, develop the project database, and contribute to shaping the project’s scholarly outputs - and you may also be involved in
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large-scale proteomic, transcriptomic, and perturbational datasets to build predictive and interpretable models of biological systems. The role will focus on developing computational frameworks