919 developer-"https:"-"https:"-"https:"-"DFG-TRR" Postdoctoral positions in United States
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of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal
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Operations Design and Fabrication: Lead the development and optimization of cardiac patches and injectable biotherapeutics using advanced biomaterials and nanovesicle technologies. Animal Models: Perform
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basic and translational neuroscience and genetics research. Our laboratory focuses on understanding neural circuit development and function, inhibitory neurobiology, cerebellar neural circuits, and
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exercise programs and release time Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
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seminars; writes and submits manuscripts, articles and research reports for publication in peer-reviewed journals; seeks opportunities for external funding and takes a lead in developing research proposals
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We are seeking a highly motivated Postdoctoral Appointee with a strong background in artificial intelligence and machine learning (AI/ML), with particular emphasis on the development and application
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metastasis. Adopt optogenetic and chemogenetic approaches to clarify the cell-cell interaction of neural cells with metastatic breast cancer cells in brain and cerebral organoids. Prepare figures, manuscripts
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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
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Research Associate to develop and apply computational technique for advanced manufacturing using high-performance computing resources. ORNL’s CCP conduct world-leading research and development in multi-scale
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modeling of x-ray spectroscopies sensitive to molecular chirality; simulations of x-ray–induced ultrafast electron-transfer, decay, and nuclear dynamics in gas- and liquid-phase systems; and the development