24 phd-computer-engineering-"https:"-"UCL" Postdoctoral research jobs at University of Minnesota
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or publications. Qualifications All required qualifications must be documented on application materials. Required Qualifications PhD in biological science and/or bioinformatics or computational biology. Knowledge
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Required Qualifications: PhD degree in Biomechanics and Movement Science (or related engineering field), Kinesiology (or related human movement science degree), Neuroscience, or similarly related field
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publication, and proposal preparation 10%: mentoring PhD and MSME students 10%: laboratory organization and management 5%: other duties as assigned Responsibilities In this position you will be expected
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results, and discussions of possible new approaches with team members and the Principal Investigator. Qualifications Required Qualifications: PhD in Statistics, Biostatistics, Computer Science, Electrical
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preparation (20%) -mentoring PhD and MSME students (10%) -laboratory organization and management (10%) -other duties as assigned (5%) *In this position you will be expected to perform high level experimental
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. Assist other lab/community members, as needed. This position is not eligible for H-1B visa sponsorship Qualifications Required Qualifications: PhD in Environmental Engineering, Chemistry, Chemical
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Qualifications: PhD in Transportation Engineering, Civil Engineering, or a closely related field Preferred Qualifications: Strong modeling and analytical skills in transportation engineering Strong knowledge
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that adhere to University policy. Assist other lab/community members, as needed. Qualifications Required Qualifications PhD in Structural Engineering, Civil Engineering, or closely related field Preferred
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the fundamental science that will lead to realizing the potential for the subsurface storage of CO2 through mineralization. The successful candidate should have a PhD in civil engineering, mechanical engineering
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arrangement Description: We are seeking a Post-doctoral Associate to lead a multi-phase investigation into the socio-cultural implications of Engineered Genetic Incompatibility (EGI) within the U.S. grass