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researcher will work as part of a team which also includes the principal investigator, two junior researchers writing PhD theses on ‘making’ in Roman literature, and two research assistants who support the
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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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thinking skills and a desire to grow within an interdisciplinary team. The ideal candidate would have: A PhD degree in soil science, environmental/agricultural sciences, biogeochemistry or a related
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completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD
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(Groningen), and the UK. This post-doc project offers a unique opportunity to work in an international environment and to acquire valuable research experience for someone who has recently completed a PhD in
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their PhD before January 2026 are also encouraged to apply. Applicants should demonstrate proficiency in programming languages and tools commonly used in computer science. Hands-on experience with genetic
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, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
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students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.
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the supervision of PhD candidates and we encourage pursuing publishing and attracting research funding beyond the involvement in this particular project. In short, we try to accommodate the development of your own