75 parallel-computing-numerical-methods Postdoctoral positions at University of Minnesota
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research group focuses on mixed-methods studies on attitudes related to SOGI and bias-based bullying in schools. The position is 30% teaching (FsoS 1201: Human Development) and 70% research. The successful
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guidelines. For more information, see https://policy.umn.edu/hr/postdocappoint Responsibility • Lead innovative research on VLM/VLA methods and their applications in autonomous driving and ITS problem
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motivated individual with a background in decision analysis and simulation modeling methods who is interested in applying these tools to answer policy-relevant questions about eMTCT interventions. Our group
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for presentation. Instruct students, fellows and other inexperienced professional persons in proper laboratory methods and procedures. Qualifications Required Qualifications: A Doctorate Degree (PhD, which is
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project on the bacterial phosphate uptake system. Protein biochemistry, enzymology, protein design, computational biology and structural biology will be key to these experiments. Translating some of these
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researchers assisting with experimental work. Provide training in field methods, data collection, and research best practices. Support a collaborative and inclusive research environment. Data Management and
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-up Experience with microbial culturing, basic analytical methods (COD, N, P, OD600), and molecular biology techniques Ability to work and coordinate with external partners Ability to work independently and
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closely related fields · Experience and proficiency with CLM and/or other distributed hydrologic models, and a strong computational and programming background · Ability to work
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slides for presentation. • Instruct students, fellows, and other inexperienced professional persons in proper laboratory methods and procedures. Qualifications Required Qualifications: • A Doctorate Degree
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, Epidemiology, Computer Science, or related field -Highly qualified and motivated investigator (PhD, or MD/PhD) Preferred Qualifications: -Experience in statistical methods and analysis using SAS, R, or STATA