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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
biogeochemical model using times series forecasting and machine learning. The Post Doc will focus on one or two of the questions depending on their expertise and interest. Minimum Acceptable Education & Experience
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required. Job Type: Full Time Rank: Post Doc Campus: Unionized Position Code: Not Applicable Job Description: The Mathematics Department at Syracuse University seeks to ll one 12-month Postdoctoral Scholar
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Position Details Position Information Recruitment/Posting Title Post-Doc Associate (Barr Lab) Department Human Genetics Inst of NJ Salary Details Offer Information The final salary offer may be
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Multi-Modal Artificial Intelligence and who have expertise on the topic of mental well-being. External and internal post-doc researchers who are eligible to submit an FWO or MSCA post-doc application
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the intersection of machine learning and genomics. The project involves the development and application of advanced machine learning and deep learning techniques to understand the sequence-function relationships
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning
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position in statistics, machine learning, and data science. The postdoctoral researcher will be mentored by Professor Yiyuan She and will contribute to the development of innovative statistical methods and
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Cheng Lab at Baylor College of Medicine is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational
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: Doctorate degree Medicine (MD) required Experience: No previous experience required Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt