14 deep-learning-phd-"Computer-Vision-Center" Postdoctoral positions at Purdue University
Sort by
Refine Your Search
-
and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
-
to the AI Working Group and further develop the College’s AI Initiatives webpage; (4) organize and host the college’s Bi-Weekly AI Lunch & Learn Series; (5) develop short “translational” research products
-
to the Director of Purdue’s College of Liberal Arts Research Academy (CLARA), Professor Torsten Reimer, at treimer@purdue.edu. Qualifications Minimum Qualifications: PhD in social science (e.g., cognitive and
-
. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the
-
and Skills Required degree/skills : PhD (or expected PhD) with experience in protein crystallography and biophysical techniques with a proven track record of successfully solving ligand-bound crystal
-
completed PhD by the time of employment, and the degree may be in sociology, history, political science, geography, religious studies, or related areas. Fluency in Korean and English are required, and
-
completed PhD by the time of employment, and the degree may be in sociology, history, political science, geography, religious studies, or related areas. Fluency in Japanese and English are required, and
-
Lashkari's research group for 2+1 years (renewed annually) with the third year extension conditioned on availability of funding. Qualifications Applicants must hold a PhD in physics or a related field by the
-
signature preservation. A PhD in geology, planetary science, or a closely related field is required. Experience in reflectance, emission, or FTIR spectroscopy is preferred. The position is available
-
‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline