81 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Stony Brook University
Sort by
Refine Your Search
-
(IRACDA) program . This comprehensive program offers 3 years of support to outstanding candidates seeking postdoctoral research training along with an opportunity to obtain mentored teaching experience in a
-
experience in real time synchrotron experiments. Preferred Qualifications: PhD in Physics, Chemistry, Chemical Engineering/Materials Science or a closely related field in hand by September 1, 2025. Expert
-
Molecular Imaging Laboratory in the recently constructed Medical Arts and Research Translation building (MART) and the FERM laboratory , both designed specifically for the PET chemistry program, equipped
-
Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD (or foreign equivalent) in Bioengineering, Genetics, Genomics, Biomedical Engineering, Analytical Chemistry
-
Molecular Imaging Laboratory in the recently constructed Medical Arts and Research Translation building (MART) and the FERM laboratory , both designed specifically for the PET chemistry program, equipped
-
Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD (or foreign equivalent) in Bioengineering, Genetics, Genomics, Biomedical Engineering, Analytical Chemistry
-
Job Description Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Sciences, Engineering, Neuroscience, Psychology or a closely related
-
Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Sciences, Engineering, Neuroscience, Psychology or a closely
-
Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science or closely related field in hand by October 1, 2025
-
multivariate data analysis. Preferred Qualifications: PhD in Chemistry, Materials Science or Chemical Engineering. Candidates are expected to have a strong background in quantitative structure analysis based