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effectively exploited, possibly using some kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys. This data is valuable to several
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. Details on the Department can be access on http://geographie.univie.ac.at/en/home/ . Your personal sphere of influence: The position is assigned to the research group Physical Geography ENGAGE - Geomorphic
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About Us For more than 60 years, Kennesaw State University has been known for its entrepreneurial spirit and sense of community. A leader in innovative teaching and learning, Kennesaw State is
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Experience: The preferred qualification is a PhD in Mathematics, Statistics or a closely related field. The Department of Mathematical Sciences The University of Texas at Dallas is a rapidly growing university
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, scientific machine learning, or optimization. Candidates with complementary expertise in related areas of applied or computational mathematics are also encouraged to apply. The ability to apply and generate
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is part of the ERC-funded project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD
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Infrastructure? No Offer Description Department of Computer Science of Faculty of Science invites applications for a DOCTORAL RESEARCHER IN MACHINE-LEARNING, STATISTICS AND DATA-CENTRIC ENGINEERING starting from
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array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed
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scholars, communication scholars, digital humanities and computer scientists. Experience with organising workshops, lecture series, and similar events. A PhD degree in Law, Political science, Information
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teaching load. Where to apply Website https://www.academictransfer.com/en/jobs/362661/postdoctoral-researchers-in-geo… Requirements Specific Requirements We are looking for outstanding researchers who