141 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P"-"Prof" "IDAEA CSIC" PhD positions in Norway
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- NTNU - Norwegian University of Science and Technology
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PhD Candidate in Economics, Centre for Applied Macroeconomics and Commodity Prices (CAMP) BI Norwegian Business School offers a four-year Ph.D. Programme with specialization in Economics, which
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international and national organizations, and the industry. The specialization is a unique blend of modern data science and research in business decisions and analytics. The four-year program offers rigorous
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national organizations, and the industry. The specialization is a unique blend of modern data science and research in business decisions and analytics. The four-year program offers rigorous training
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to apply. Good skills in mathematics and programming. You must have a strong academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education
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. The PhD specialisation NHH is pleased to announce vacancies in the PhD specialisation in Economics. Candidates admitted to the PhD programme will receive the title of PhD Research Scholar. We are mainly
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455 employees. The PhD specialisation NHH is pleased to announce vacancies at the Department of Business and Management Science. Candidates admitted to the PhD programme will receive the title of PhD
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to the interdisciplinary project goals. In understanding with the supervisors provide a detailed plan for PhD study that includes the mandatory courses, research activities, dissemination and milestones Report progress on a
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Full-time Hours Per Week 37,5 Is the job 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
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endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in
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generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal