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. The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching
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are looking for two new postdocs. You will join a new research program on the role of universities and entrepreneurial ecosystems in building deep tech startups and scaleups. You will work towards building a
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needs Ensure compliance with environment, safety, health and quality program requirements Participate in the development of new ideas and projectsDeliver ORNL’s mission by aligning behaviors, priorities
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programming languages like OCaml will be expected from successful applicants. We offer: Postdoctoral position for 1-3 year. (TVÖD E13) / PhD position for 3 years (comparable to 65% TVÖD E13). No teaching duties
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, energy systems, simulation, and/or transportation research. Technical skills: Python programming; simulation. Domain knowledge: Decarbonization modeling, life-cycle assessment, battery-electric vehicle
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supporting documentation via Workday with their application, including: Cover letter describing your research background, fit for the AquOTic program, including comfort in water-based environments, research
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analyse data, interpret and present results to a high standard using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C
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and independently plan scientific research, as well as collaborate with other project members. Excellent proficiency in English, both oral and written. Meriting Qualifications: Experience in
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, international environment. Excellent spoken and written English (our working language). We offerPositions are available from fall 2025 (negotiable) with an internationally competitive salary and benefits
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 2 months ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore