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Field
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Us! The Biosystems Data Analysis (BDA) group at the University of Amsterdam is looking for a postdoctoral researcher to develop and rigorously benchmark quantum-computing approaches for high-impact
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Main goall: to develop
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the postdocs could participate. FDS launched in October of 2022 and moved into a newly renovated Kline Tower in the summer of 2023 along with the departments of Statistics & Data Science, Mathematics, and
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 9 hours ago
for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant experiences, and publication list Two educational or professional
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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/Qualifications We are looking for a researcher with a PhD in physics, astronomy, applied mathematics or a closely related discipline, completed before the starting date. Essential qualifications: The candidate
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6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more
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teaching obligation. Required documents: cover letter, briefly summarising your mathematical interests and with whom/in which project you would like to work academic cv list of publications research
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Job Description Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD (or foreign equivalent). At least one academic degree in the field of Mathematics, Physics, Biomedical
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. Your work tasks This Postdoc sits at the intersection of mathematics, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health