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matrix dynamics. The ideal candidate has the following competencies and skills: A PhD in biomedicine, or a related discipline such as biochemistry, molecular biology, medicine, cell biology, immunology
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silicon-containing building blocks with the opportunity to carry out high-throughput experimentation. Candidates should have or expect to obtain a PhD or equivalent qualification in synthetic chemistry or a
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Antoine Marques Mourato at the Naval Academy in Brest, Anne-Lise Marchand and Paola Melani at the Air Force Academy in Salon-de-Provence, all of whom hold PhDs in social and/or cognitive psychology
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innovation in fertilizer experiments. The candidate will study the dissolution and diffusion of fertilizers in water and/or soils with different degrees of saturation. The aim is to conduct experiments and
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will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or
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radio access and/or core network standards, implement the features in MATLAB and/or OpenAirInterface software for computer simulations, and conduct theoretical research to submit proposals to the ongoing
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voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Posting Summary The position will conduct state
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staff position within a Research Infrastructure? No Offer Description Activities The fellow is expected to: - Conduct original research in Geometry and publish the results in reputable international
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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to the drivers of velocity variations at marine terminating glacier margins across a range of temporal scales; glacier stability; iceberg calving behaviour; and the influence of mélange and meltwater plumes