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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 1 day ago
and become efficient in using various computing languages, such as R, C, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis
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Department of Data Science and Artificial Intelligence Postdoctoral Fellow (Ref. 260116015) [Appointment period: six months] Duties The appointee will assist the project leader in the research
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| UiB . General information The assessment will emphasise the quality of the project description and its relevance and importance towards the project, as well as the applicant’s academic and personal
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laboratory and field trials using a range of geophysical equipment such as Ground Penetrating Radar or gravimeters (e.g. Scintrex CG6) to provide benchmark data as well as the quantum technology gravity
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foundation in Bio/chemistry, Bioprocess, and Microbial Biotechnology. Additionally, candidates should possess expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data
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, Reliability and Teamwork Research Unit. Specifically, they will be working to supervise data collection, cleaning and analysis and helping in the writing up and publication of the results. This will involve
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) for more information about the project’s rationale and recent outputs. Role Summary The successful candidate will design and drive a high-level strategy to position DAWN’s findings on deep uncertainty in
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(Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives
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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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, Shin-Etsu. Applicants must hold a PhD (or close to completion) in a relevant plant or crop science field, have experience growing plants under axenic and/or glasshouse conditions, and possess strong data