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training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 18 days ago
with at least a grade of 'good'. Experience in programming in C, C++, Python, or IDL (or any equivalent) is desirable, as well as experience in the analysis of imaging radio data. The full-time PhD
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CoSi project (Co-Evolution and Coordinated Simulation of the Swiss Energy System and Swiss Society), we are seeking a motivated and qualified PhD candidate to develop neighbourhood- and district-scale
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. The project is coordinated by an academic supervisor at the University of Cambridge and an Industrial supervisor at Jaguar Land Rover (JLR). A broad range of training and development opportunities will be
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programming experience (preferably in Python). If English is not your first language, provide evidence of proficiency through: A minimum IELTS average score of 6.5 and a minimum of 6.0 in each component. OR A
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identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or
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participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with
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oppdatert 02.08.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
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at the Research Assistant Professor level. Anticipated start date Autumn 2025 or Winter 2026. A successful candidate is expected to develop an independent research program. This position will use skills including
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, potential toxicity and ubiquitous abundance in the environment. Understanding and evaluating their emission pathways is essential to plan and implement effective measures to reduce emission of PFASs. In