1,454 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:" Postdoctoral positions
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access vital statistics and Medicare/Medicaid claims data and will be advised by Dr. Kyle Aune. Candidates for this position should have experience in the areas of epidemiology, statistical programming
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sequencing data, whole-genome alignments, and assemblies is preferred. Candidates should be familiar with computational biology techniques and scientific programming. Prior experience with cloud and/or high
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the human and other genomes. The successful applicant must have the ability to plan, execute, interpret, document, and troubleshoot independent research and to collaborate effectively with other computational
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workflows. 3. Programming Skills: - Proficiency in C++/or Python programming languages is essential. 4. Research Contributions: - Demonstrated publications in AI for Materials Chemistry. 5. Collaboration and
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expected to plan and manage their own research and administration, with guidance if required, and to assist in the preparation of proposals and applications to external bodies. You must be able
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Postdoctoral Position in the Research Unit for Robophilosophy and Integrative Social Robotics (RISR)
closely with the three lead researchers of the project, Professor Johanna Seibt (RISR , philosophy), Associate Professor Majken Kierkegaard Rasmussen (Digital Design, Interaction Design research program
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. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the centre, collaborating across our
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related inflammatory conditions. Responsibilities Plan, design, and execute experiments of considerable scope and complexity in cardiovascular and endothelial biology. Investigate mechanisms
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. Designs and writes programs to perform analysis and produces written reports on results. Collects pilot data to help support new and competing renewal applications. Supervises undergraduate and graduate
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Research Associate to develop and apply scalable artificial intelligence (AI) / deep learning (DL) methods to advance multi-scale coupled physics simulations in support of the missions and programs of the US