21 machine-learning "https:" "https:" "https:" "BCBL Basque Center on Cognition, Brain and Language" Postdoctoral positions at University of Colorado
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● Experience with machine learning, AI, statistical modeling, or data analysis, demonstrated through publications, projects, or dissertation work ● Track record of completing research projects, as
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) https://www.cu.edu/employee-services/benefits-wellness/new-employee/PBO/post-doc · benefits guide cover-post-doc-2024 (cu.edu) https://www.cu.edu/docs/benefits-package-guide-post-doctoral-fellows
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publications can be found here: https://pubmed.ncbi.nlm.nih.gov/?term=shellman+y&sort=pubdate&size=50 Key Responsibilities: Conduct tissue culture, molecular and cell biological experiments Perform microscopy
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Qualifications: Experience with development of R packages or other software Minimum 1-year experience in machine learning methods Knowledge, Skills and Abilities: Excellent communication skills (written and oral
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, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU
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policies Good documentation practices Dedication to professional development and life-long learning Ability to be adaptable, flexible, and to think on your feet Experience with web-based tracking systems and
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findings to military stakeholders and the implementation of evidence-based practices within military medical populations. Therefore, applicants should have experience working with, or significant interest in
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, Computational Linguistics, Machine learning, Computer Engineering or related fields Preferred Qualifications: ● Strong experience implementing and training deep learning models in PyTorch, with attention
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oncologists. Salary and benefits are in line with the NIH guideline. Key Responsibilities: · Perform designated research projects independently; document, acquire, and analyze experimental research
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on the structural dynamics of molecular machines. This is an exciting opportunity to help shape the scientific direction of a growing lab at the interface of structural biology, biophysics, and virology, while