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Field
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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See advertisement About the position We are currently seeking applicants for a 3-year Postdoctoral Fellow position (100%) in cardiac research. The successful candidate will examine sex differences and
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Institute, including budgets/expenditure 11. Keep up to date with current knowledge and recent advances in the field/discipline in order to provide advice and guidance to students and less experienced
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
hands-on experience with vacuum equipment, mass-spectrometry, catalytic reactors and/or gas-flow systems is highly beneficial Experience with and knowledge of mathematical modeling techniques (numerical
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. The project involves both in vitro and in vivo studies to uncover the molecular and cellular mechanisms driving cancer-associated immunosuppression using mouse and human solid tumor models. Additionally
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Experience using electrochemical and/or flow instrumentation desirable High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and
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is currently employing multifaceted approaches and mouse disease models to uncover the novel immunostimulatory or immunosuppressive mechanisms of cGAS-STING pathway in antitumor immunity and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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satellite remote sensing and a wide array of ground observations (i.e., phenocam, Lidar, sap flow). The Postdoc is expected to integrate the advanced knowledge in plant physiology, remote sensing and
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techniques, including but not limited to flow cytometry, mass spectrometry/quantitative phospho-profiling, CyTOF, mouse genetics models, xenograft assays, retroviral gene delivery, chemical biology, drug