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Field
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responsibilities will include utilizing state-of-the-art ML platforms such as TensorFlow and PyTorch to process and analyze complex datasets related to CO2 transport and storage. You will develop methods for real
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skilled doctoral researcher (PhD student) that will work in a vibrant and international research environment as part of a Research Council of Finland funded project on RNA-mediated pathogenicity mechanisms
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& Research (WUR) and outside our organization. Your qualities you have a MSc/PhD in analytical chemistry, organic chemistry, food chemistry or comparable specialization. Knowledge of instrumental analysis
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skills, and you excel at stakeholder engagement and relationship management across disciplines and cultures. You also bring: A PhD in Virology, Microbiology, Biotechnology, or a related field; Over 10
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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REQUEST Professional education, qualifications and experience Ph.D. – Doctoral Degree Programme completed in history or art history within 7 years prior to the onboarding – a condition professional focus on
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
. The department also offers a postdoctoral research training program. The department supports an array of faculty directed research programs of which many are supported by extramural grants and/or contracts
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and rural health staff informatics, coordinate the writing of ethical applications and reports, and contribute to writing publications and external grants. To be successful you will need: A PhD in
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of a PhD in health or medical sciences and/or equivalent qualifications plus experience in conducting qualitative health research. Demonstrated experience in collecting qualitative interview/ focus group
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The successful applicant must have a Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of the appointment. Type Benefited Staff Special