44 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions at Northeastern University
Sort by
Refine Your Search
-
well as helping with general daily laboratory upkeep tasks. The position involves a substantial amount of mouse work as well as mammalian cell culture, general biochemistry and molecular biology techniques, flow
-
the progress of research. * This position is a fully remote opportunity and there will be no requirement of an on campus presence. Position Type Research Additional Information Northeastern University considers
-
: experience with Chlamydomonas reinhardtii or Arabidopsis thaliana, photosynthesis, high-throughput genetics, computational data analysis, and fluorescence microscopy. Applications must include a cover letter
-
://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having
-
to assist in the precise diagnosis of major diseases, including cancer and cardiovascular disease. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Biomedical Engineering, or a relevant field
-
biomedical imaging system to assist in the diagnosis of widespread diseases, including cancer. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Physics, or a relevant field. Demonstrated
-
or scholarship; work under the supervision of a senior scholar. Please use the space below to identify specific requirements for this position. Seeking Postdoc to lead fMRI data analyses related to aging, Locus
-
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
-
to collaborative projects that explore the intersection of complex systems and public health. Qualifications PhD in a related discipline (e.g., epidemiology, applied mathematics, statistics, or network science) by
-
of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven