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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 21 hours ago
of Nuclear Science invites applications for a postdoctoral research position. Our group has leading roles in the sensor design and the R&D for the test and characterization of novel wafer-sized 65nm stitched
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The Applied Materials Division, Process R&D and Scale up Group is seeking a postdoctoral candidate to conduct general research in material science and electrochemistry related to next generation
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preferred. Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in immunology is desired. Candidates should have a PhD in Chemistry, Chemical Engineering
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genome integrity. The successful candidate will investigate the role of a newly discovered protein in controlling RNA and R-loop levels on the genome to avoid genomic instabilities. They will CRISPR
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to international destinations to meet with collaborators and collect data (10%). Required Qualifications: PhD in Veterinary Epidemiology or related area and be familiar with R/Stata. Preferred Qualifications: DVM
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completed Ph.D. within the last 5 years in Computational Biology, Bioinformatics, Machine Learning, Artificial Intelligence, Virology, or a related field Strong programming skills in Python, R, or Julia, with
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The Postdoctoral Appointee will be part of a R&D group conducting use-inspired research supporting the development of next-generation energy technologies such as nuclear fuel recycling and
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, Matlab, R, etc.) is also advantageous. Department Contact for Questions Questions regarding the position or application process can be directed to: Prof. Van Stappen, Department of Chemistry, Indiana
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for This Position" button located below the Contact Information. Contact Information Contact:Jan R Wessel - jan-wessel@uiowa.edu Clas-Psychological Brain Sci Psychological and Brain Sciences Building 340 Iowa
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data