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The Data Science Learning Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge computational and systems biology research. The primary focus
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Posting Title Post-Undergraduate (Year-Round) Intern - Chemical Engineering . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
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Posting Title Post-Undergraduate/Graduate (Summer) Software Engineering Intern for Grid Modeling Applications . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working
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Human Frontier Science Program: Postdoctoral Fellowships Eligibility: A research doctorate (Ph.D.) or a doctoral-level degree comparable to a Ph.D. with equivalent experience in basic research must
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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Harvard Brain Science Initiative: HBI Postdoctoral Pioneers Program Deadline Month: October (LOI) and November (full application) Description: Harvard Brain Science Initiative (HBI) aims to support
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social science to join us in advancing real-time analyses of political and health-related audiovisual and textual messages using computational methods. WMP leverages large-scale advertising and media
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rolling basis. Description The Department of Energy (DOE) Science, Technology, and Policy (STP) Program provides an opportunity for students, postgraduates, and faculty to engage in programs, projects, and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
) into safety endpoints (such as cardiotoxicity, immunogenicity, etc.) Learning Objectives: As a participant, you will have structured learning opportunities in regulatory science, computational toxicology, and
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chemistry and experience with quantum chemistry packages (e.g., Molpro, NWChem) Strong skills in developing and implementing computational and numerical methods; familiarity with parallel computing on CPU/GPU