11 computer-programmer-"https:"-"https:"-"RAEGE-Az" research jobs at Purdue University
Sort by
Refine Your Search
-
Program
-
Field
-
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
-
-reviewed publications and contributing to the development of funded research. Preferred: An engaged scholar with experience in grant writing and program building. Application Procedure Applicants must submit
-
well as support for a vibrant visitors program. Postdoctoral Researchers will have the opportunity to collaborate with faculty across these departments, including the future QST hires. In particular, there is a
-
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
-
. Our group focuses on understanding molecular mechanisms and metabolic signatures in Alzheimer’s disease (AD) through computational and systems biology approaches. The postdoctoral researcher will lead
-
should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with Machine
-
should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with CMS will
-
. 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
-
Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be