300 programming-"Multiple"-"Duke-University"-"Humboldt-Stiftung-Foundation"-"O.P" Fellowship positions
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to the principles of equity, diversity and inclusion. Desirable characteristics: Experience of handling large sets of samples from multiple collaborators. Experience with HPAEC-PAD, mass spectrometry and HPLC systems
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– Portsmouth (DCPH-P) ensures Department of Defense Readiness through leadership in prevention of disease and promotion of health. Through the ORISE program, the DCPH-P provides opportunities to participate in
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Cancer (2024), Blood (2022, 2019, 2019), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand
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interprofessionally aligned health care programs, and nationally recognized programs in the marine sciences, the natural and social sciences, business, the humanities, and the arts. Benefits Overview Multiple health
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for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded
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vulnerabilities in lung cancer.” This work forms a critical part of the next phase of the project, which is now entering a high-intensity stage involving collaboration across multiple institutions. The Person We
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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
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be extended depending on funding availability, project assignment, program rules, and availability of the participant. This research fellowship will be located at the Naval Medical Center San Diego
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letter will be included in the competence assessment. The final project description and progress plan are drawn up in consultation with the supervisor during the first three months of the employment period
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, aggregating them across multiple, pluralistic values if necessary, and fine-tuning models to satisfy those preferences. In the Normativity Lab we believe these approaches are likely to prove too limited