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close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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skills and knowledge in the use of data analysis software, specifically the STATA software; Proficiency in the English language (spoken and written); PhD in one of the disciplinary areas relevant
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Job Description Are you a skillful and ambitious PhD graduate interested in kicking off your academic career in a renowned research group leading in the field of thermodynamics with a strong
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ICETA - Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto | Portugal | 3 months ago
where the research leading to the candidate’s PhD degree was carried out must be different from the Associated Laboratory for Green Chemistry – Clean Technologies and Processes. If the PhD degree
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outreach. Employment is scheduled to start on August 15th, 2026. The BioM Convergence Environment BioM - Methods for knowledge-based biodiversity monitoring and management under uncertainty - is an
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. Tasks The successful candidate will be involved in research on developing single- and dual-atom catalysts for bicarbonate conversion using electrochemical methods. Focus will be on the design of
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recruiting 1 Postdoctoral Fellow (SKO 1352) with a PhD in either social science or the humanities, to a project on plastics in healthcare. In this postdoc position, you will join an interdisciplinary and
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responsibilities will be reviewed favorable. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its
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» Solid state physics Physics » Mathematical physics Physics » Computational physics Physics » Applied physics Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 11
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Postdoctoral researcher position at the Department of Animal and Veterinary Sciences, Aarhus Univ...
June 1, 2026, or soon thereafter. The position is within the research section Management and Modelling. The research section Management and Modelling develops methods and tools for herd management