42 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Northeastern University
Sort by
Refine Your Search
-
and haptics feedback in real and virtual agents will be a plus. The successful candidate must have a Ph.D. or equivalent degree in related engineering and science disciplines. The candidate must have
-
About the Opportunity Job Summary A Postdoctoral Research Associate position is available in the Saavedra lab in the Department of Biology at Northeastern University in Boston, MA. The lab is
-
About the Opportunity Job Summary The Wang Lab seeks to advance our understanding of chloroplast function using the model unicellular microalga Chlamydomonas reinhardtii. The research in Wang lab
-
. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
-
conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
-
accomplishments in data analysis and in detector hardware or software. For further details about the position, please contact Prof. Bonilla Castro . Application should include: CV Statement of research interests
-
and Brain Health, we interact and collaborate closely with other researchers who use a broad set of interventionist approaches to benefit cognitive and brain health and promote well-being across
-
closely with other researchers who use a broad set of interventionist approaches to benefit cognitive and brain health and promote well-being across the lifespan. With a mixture of federally funded projects
-
medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
-
information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling