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language of Bhutan based on a corpus of natural speech and elicitation. We are seeking applicants who are intrinsically motivated in working on the European Research Council-funded project “Lo-Rig
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encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School
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science/math/physics; an applicant who switched fields, etc.ISTA processes applications for its PhD program once a year. To apply, you have to create an online account, which will allow you to track your
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
at least one of these languages, and in time are expected to master both. As a formal qualification you must hold a PhD degree (or equivalent) as well as academic qualifications equivalent to those obtained
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research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and
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•Degrees Accepted: Bachelor's or Master's in any of the listed or closely related fields.•Languages: Proficiency in English (language tests may be requested during the visa process).•Commitment: Applicants
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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Supervisor: Joann Whalen, PhD Department of Natural Resource Sciences Macdonald Campus; McGill University Position Summary: Use modern digital communication techniques to engage stakeholders interested in soil
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cancer early detection research. The postholder will work closely with researchers from the University of Cambridge, Oregon Health & Science University, the University of Manchester, the German Cancer
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at the PhD School of Natural Sciences at Aarhus University. The expected PhD-project will be embedded in a work package that focuses on the design, implementation, and evaluation of AI-enhanced immersive