107 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Dr" "Dr" "UCL" research jobs at Pennsylvania State University
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REQUIREMENTS The Department of Astronomy and Astrophysics is seeking applicants for the part-time job of Research Assistant. The McEntaffer research group in the Department of Astronomy & Astrophysics (https
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SPECIFICS Dr. Thandazile Moyo and Dr. Olumide Ogunmodimu are seeking a highly motivated Postdoctoral Researcher to join their research team focused on advanced materials characterization, mineral processing
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the importance of this role in our research program. Essential job function: Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation related to research
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an application through Mathjobs.org (https://www.mathjobs.org/ ) with the following materials for the application to be complete: Cover letter Curriculum Vitae Teaching Statement Research Statement Publications
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pathology across the lifespan. The post-doctoral scholar will work directly under the mentorship of Dr. Dara Babinski, with additional opportunities for mentorship from others within the Attention and
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of reference to be uploaded to https://exoplanets.psu.edu/upload-letters/ . Questions regarding the application process can be directed to astro-jobs@psu.edu. Please reference the job number in the email subject
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computational modeling in precision medicine and personalized healthcare prediction. The postdoctoral position will work with Dr. Wenrui Hao to develop computational methods and build mathematical models related
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astroparticle physics, with a focus on neutrinos, under the supervision of Dr. Stephanie Wissel, Associate Professor in Physics and Astronomy and Astrophysics. The ideal candidate will conduct research using
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to provide evidence that all requirements have been met for completion of the Ph.D. prior to the effective date of hire. Candidates are encouraged to apply online at https://hr.psu.edu/careers . Candidates
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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data