Sort by
Refine Your Search
-
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
-
results, and discussions of possible new approaches with team members and the Principal Investigator. Qualifications Required Qualifications: PhD in Statistics, Biostatistics, Computer Science, Electrical
-
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
-
. 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
-
Qualifications: PhD in Transportation Engineering, Civil Engineering, or a closely related field Preferred Qualifications: Strong modeling and analytical skills in transportation engineering Strong knowledge
-
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
-
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
-
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
-
. Qualifications Qualifications: PhD in Civil & Environmental Engineering, Hydrology, Geosciences, or a related field. Strong background in laboratory experimentation (microfluidics involving microbes, reactive
-
, neurodegenerative conditions, and other diseases. We seek candidates with expertise in one or more of the following areas: mathematical modeling, differential equations, stochastic processes, scientific computing