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Field
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Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday – Friday 8-5 VP Area U of U Health - Academics Department 02171 - Education Program and Trainees Location Campus
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firm. Qualifications We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of
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cancer biology, demonstrated by publications in high impact journals. The person would be well versed with various techniques used in the field of cancer immunology as well as having the ability to plan
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to support their research program and that fits within the Departmental research mission. Successful candidates will be required to self-disclose any misconduct history or pending research misconduct
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bacteria, yeast, and human cell lines. The applicant must be able to design, construct, and design both experimental and computational tool suites to realize tasks that are required to fulfil the position
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tools in heat and mass transfer, microfluidics, thermodynamics, bioengineering, micro/nanotechnology, and computational modeling. We are passionate about developing novel translational platform
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cancer biology, demonstrated by publications in high impact journals. The person would be well versed with various techniques used in the field of cancer immunology as well as having the ability to plan
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journal clubs. 5% Assist in planning and drafting extramural research proposals - Will work with direct supervisor to plan and draft portions of research grants relevant to newly developed methodologies. 5
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
: The candidate should have a strong background and training in theory and computational science related to molecular biophysics and biomolecular modeling, and should have significant prior research experience and
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications