23 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Dr" "Dr" "UCL" research jobs at Purdue University
Sort by
Refine Your Search
-
-month appointment that involves actively engaging with food industry stakeholders, leading the analytical services program at the Whistler Center for Carbohydrate Research, and developing a research
-
a Ph.D. degree in Aerospace Engineering or a related discipline by the employment start date and demonstrate potential to build an independent research program with externally funded research
-
of Postdoctoral Research Associate to work with Dr. Bridgette Kelleher and Dr. Daniel Foti in the Purdue University Department of Psychological Sciences. The candidate will be jointly supervised by Dr. Kelleher and
-
institute here: https://engineering.purdue.edu/Innovation Education and Experience Ph.D. in a relevant field (e.g., Innovation / Technology Management, Business / Technology Strategy, Innovation Studies
-
. The College of Liberal Arts, home to the Dunn Lab, is an emerging leader in innovative education, offering nationally recognized programs like the Cornerstone Integrated Liberal Arts program, Degree+, and the
-
, offering nationally recognized programs like the Cornerstone Integrated Liberal Arts program, Degree+, and the Degree in 3 initiative. These programs enhance Purdue’s renowned STEM education by pushing all
-
East (https://globaleast.org) at Purdue University invites applications for a one-year postdoctoral research position starting as early as July 1, 2022, however a late start date can be considered
-
East (https://globaleast.org) at Purdue University invites applications for a one-year postdoctoral research position starting as early as July 1, 2022, however a late start date can be considered
-
communication skills. Strong attention to detail and good organizational skills. Strong desire to work in a collaborative research program. Interested candidates should email Professor Michael Manfra at mmanfra
-
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