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at the intersection of inflammation biology, therapeutic development, and precision medicine, contributing to projects aimed at elucidating pathogenic mechanisms and identifying druggable targets. The programme
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Ishida), in the Southeastern United States. This research is a component of USDA-ARS National Program 304 (Crop Protection & Quarantine). The postdoctoral fellow will conduct ecological, behavioral, and
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Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration
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the employment period. A career development plan will be drawn up, outlining the competencies the Postdoctoral Fellow is expected to acquire during the employment period. The Postdoctoral Fellow will also have
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About the job: As a part of the 14CHRONO team, the research fellow will lead a programme of research and development into novel thermally-driven evolved gas analysis (EGA) molecular separation
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to ICFA collections for scholars and the public. The Fellow will be fully integrated into the Library and Pre-Columbian Studies Program and will work closely with the staff of the Image Collection and
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in ray tracing is a requirement. Experience from or competence in seismic inversion and/or travel time tomography is a requirement. Experience from or competence in computer programming (e.g. Matlab
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biological research station. Additional opportunities for collaboration exist across the university, including with faculty in the College of Medicine, Neuroscience Program, and the Department of Chemistry and
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physical hypotheses. Run customised scripts using programming languages such as Fortran, Python, and/or MATLAB. Postprocessing and interpretating datasets from numerical simulations. Propose parameterization
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 18 hours ago
studies to develop a computation model Introduction to clinical pharmacology and maternal-fetal medicine Building upon participants knowledge of ODE-based modeling and simulation methods using R programming