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problems, scale solutions, and drive impact. Real Learning for Real Impact. To reinforce our team, we are looking for a Research Fellow: Natural scientist or engineer wanting to make a difference in
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submitted a relevant PhD and have expertise in behavioural science, AI, machine learning and/or an intersection of those fields. This expertise should be explained in a letter of application and demonstrated
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partners in assessing their utility using data collected by an AUV system and providing advice on future long autonomous navigation techniques. About you a PhD in a relevant field or near completion
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Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry-collaborative research Where to apply Website https://www.timeshighereducation.com/unijobs/listing/413018/research-fellow
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The position will be attached to the project “SURE-AI” (http://www.sure-ai.no/ ) funded by The Research Council of Norway, and lead by Simula Research Laboratory. The main focus of the research will be
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. The TASC team is led by social scientists who work across these disciplines to examine workplace and consumer experiences of technology adoption. Learn more at https://icsensehub.org.au/ To Apply Please
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
the ARC Discovery Project grant “Responsible Statistical Learning: Uncertainty, Fairness and Transparency”. The successful candidate will play a key role in advancing high-quality research under the ARC
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environment Be prepared for adjustments to work tasks following appointment Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/304467/phd-research-fellow-in-ma… Requirements Research
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English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade
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are offered at Bachelor, Master and PhD levels, spread out on five campuses Førde, Sogndal, Bergen, Stord og Haugesund. Our ambition is to build stronger and more solid academic and research environments