Sort by
Refine Your Search
-
and Transportation is conducting research to develop durable, sustainable, resilient and smart transportation infrastructure. We are currently accepting applications for a Postdoctoral Associate
-
Effective spoken and written English required. High level of computer literacy required. The individual must be able to navigate the highly complex and often unpredictable nature of scientific research, as
-
biological markers o Quantitative analysis of complex data Evidence of collaborative publications (in press or near-submission is acceptable) City: New Brunswick State: NJ Location: Douglass (RU-New Brunswick
-
, solid experience with protein biochemistry. Prior knowledge of crystallography and/or single-particle electron microscopy is highly desirable. Must be highly motivated and work independently as well as in
-
an increasingly complex society, with particular attention to its public mission and building a civic dialogue. The campus is the most diverse national university in the United States and is ranked twelfth among
-
addressing evolutionary medicine and human behavior. This is a calendar year position. Candidates with experience in quantitative, laboratory, or field-based methods and/or theoretical expertise in
-
methodologies, including human energetics, anthropometry, and biological markers o Quantitative analysis of complex data Evidence of collaborative publications (in press or near-submission is acceptable
-
25FA0936 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience Ph.D. in Civil Engineering, Industrial Systems Engineering, Material Science, or a closely related field. The
-
limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
-
limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization