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protein coding genetic association data with functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is
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, code, and results. Contribute to the preparation of research papers, reports, and presentations to share findings with the scientific community and project stakeholders. Experience and Qualifications: A
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to study Long Non-Coding RNAs (lncRNAs) in Pluripotency and Differentiation. LncRNAs are an exciting class of of RNA molecules among which very few have thus far been functionally characterized in depth. We
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/InstitutePaul Scherrer InstitutCountrySwitzerlandGeofield Contact City Villigen PSI Website http://www.psi.ch/psi-home Street PSI West Postal Code 5232 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 4 days ago
Location(s) Number of offers available1Company/InstituteINEGICountryPortugalGeofield Contact City Porto Website http://www.inegi.pt/ Street Rua Dr. Roberto Frias, 400 Postal Code 4200-465 E-Mail
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/ProvinceLISBONCityLISBONGeofield Contact City LISBON Website http://www.lip.pt Street Av. Prof. Gama Pinto, nº 2 Postal Code 1649-003 E-Mail natalia@lip.pt STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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Contact City LISBON Website http://www.lip.pt Street Av. Prof. Gama Pinto, nº 2 Postal Code 1649-003 E-Mail natalia@lip.pt STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group
these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224
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conducting research using large-scale routine or registry data, preferably in cancer. High-level proficiency / experience developing reusable analytical pipelines or modular code (in R, Stata, or Python) with