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research on artificial intelligence, machine learning, and other technological advancements that support the creation of accessible media. Policy and Regulation: Analyzing the impact of existing legislation
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experience and enhanced potential to receive an ERC Starting Grant in the future. Open to both PhD (natural sciences) and MD (medical sciences) holders. From a variety of academic backgrounds: molecular
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, engaging with other data analysts, students, post- docs and faculty on the team Conduct comprehensive high-throughput multi-omics data analysis and epidemiological analyses; Apply biostatistics and cancer
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Apply now Job no:526348 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: CBIKS Union: Post Doc Categories:Postdoctoral Research Associate, College of Social and Behavioral
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biostatisticians; the post-docs role will therefore be focused on scientific interpretation, reporting, and interdisciplinary collaboration. Strong communication skills are essential for leading projects, engaging
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are beneficial, candidates will work closely with data analysts and biostatisticians; the post-docs role will therefore be on scientific interpretation, reporting, and interdisciplinary collaboration. Strong
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doc Scholar Department: Medicine
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behavioral, modeling, and neuroimaging techniques. Join our team and be involved with writing up data from all of these great and innovative multimodal studies. The Post-Doc will provide technical, analytic
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candidates are encouraged to contact the relevant NIH staff for IC-specific programmatic and budgetary information: Table of IC-Specific Information, Requirements and Staff Contacts . Key Dates Posted Date
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- Post Doc Applicants Only: academic track record with publications at top-tier venues in computer vision, graphics, or machine learning (CVPR, ECCV/ICCV, Siggraph, Siggraph Asia, NeurIPS, ICML, ICLR) How