34 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Virginia Tech
Sort by
Refine Your Search
-
and Episodic Future Thinking as an intervention for tobacco use disorder in military veterans. Postdoctoral Associate responsibilities will also focus on the use of the International Quit & Recovery
-
. Experience with both experimental and computational approaches is desirable, as is proficiency in widely-used microbiological methods. The Aylward lab is a vibrant and dynamic work environment that welcomes
-
year. The individual will also be responsible for writing documents, including grant reports and publications. Required Qualifications • PhD in Mathematics or a related field with a background in
-
, materials, virology, computational biology, science communication, community engagement, and ethics. Candidates should demonstrate all relevant qualifications (see required and preferred qualifications below
-
datasets, machine learning, and experimental methods to investigate how the tumor microenvironment and gene regulatory factors control tumor metastasis cascade. By advancing our understanding of malignant
-
• Ph.D. in Nuclear Engineering, Mechanical Engineering, Materials Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one
-
goals, and at least three names for recommendation letters to Dr. Steven Poelzing (poelzing@vtc.vt.edu). Required Qualifications • PhD in single cell, tissue/organ, and in vivo cardiac electrophysiology
-
his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
-
engineering, computer science, and any related fields, or MD with the equivalent level of training and lab experience. • PhD must be awarded no more than four years prior to the effective date of appointment
-
and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and