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. The successful applicant will work closely with ORI Information Technology (IT), Electronic Research Administration (ERA), and Data & Analytics teams to develop and share best practices, understand available data
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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in
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of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday
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Sciences or related fields, with a PhD in Sciences from a graduate program in Biochemistry or Physiology; experience with white and/or brown adipose tissue metabolism and physiology; handling, breeding, and
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; and proof of PhD completion. Preferably combine the documents into a single PDF. Email subject: “FAPESP Postdoctoral Fellowship Application – Applicant’s Name”. This opportunity is open to candidates
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
kinetic analyses, structural biology, and FRET/BRET measurements. Minimum Education and Experience Requirements PhD in the Biological or Chemical Sciences. Required Qualifications, Competencies, and
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$68,500. Email/Website: [email protected] | https://www.dietrich-lab.org Introduction of School/Department The Dietrich Lab in the Department of Comparative Medicine at Yale School of Medicine
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written Communication Skills. Certificates/Credentials/Licenses M.D. or PhD Required Computer Skills General office suite, GraphPad-Prism, Endnote, Snapgene, and willingness to learn lab specific software
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, breeding organisations, industry partners and other ARC Linkage collaborators including Murdoch University, IPK Germany, AGF Seeds, Agrifutures and Diversity Arrays. About you completed PhD in a relevant
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. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2 diabetes, metabolism, and/or