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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/309541 Posting Contact Information Department Contact Name and Title Courtney Lineman, HR
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about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Postdoctoral Scientist role: We are seeking a motivated and creative Postdoctoral Scientist to join our dynamic
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, regression models or machine learning. Applicants from clinical hepatology with experience in the above fields can also be interesting. You will work in an interdisciplinary and international research
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postdoctoral research associate in the broad area of computational physics (https://charmnet-mmicc.github.io ). The mission of CHaRMNET is to develop novel numerical methods that allow us to overcome the curse
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transitions and universality for spectral statistics of random matrices and their applications in high-dimensional statistics, machine learning and probability theory. The Department of Mathematics at KTH
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apply statistical and machine learning models to identify predictive markers of depression. Design and execute experimental protocols related to self- representation and chronic pain. Prepare manuscripts
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postdoctoral researcher to the laboratory of Dr Miriam Klein-Flügge in collaboration with Lilian Weber’s research group and a consortium of researchers chaired by Michael Browning, sponsored by a Wellcome Mental
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to that present in the LMC is recommended, e.g. on AI/Machine learning in drug design, assay development, bioconjugate chemistry, fragment-based discovery, DNA-Encoded Libraries (DEL), sustainability aspects, etc
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Location: Kavli Institute for Nanoscience Discovery Contract type: 1 year Fixed-term (with the possibility of an extension) We are seeking a Postdoctoral Research Assistant for the Gene Machines
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ring lattices using the codes ELEGANT, BMAD, or MAD Some fundamental knowledge on machine learning, data science and related numerical tools, such as Scilearn-kit, PyTorch Preferred Knowledge, Skills