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of the North Sea. Existing automated detection algorithms will be used to identify seals and porpoises. The results will be used to create seasonal acoustic presence maps, investigate differences in community
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), specifically within the Faculty of Science and Engineering (FSE), in the Groningen Institute for Evolutionary Life Sciences (GELIFES), and in collaboration with the interfaculty research centre BirdEyes Centre
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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for this position. A curriculum vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications and references. Screening is part of the selection procedure. For more
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list of publications (if available). Copies of (Re)Master diploma and list of grades. If candidates are still studying for their (Re)Master diploma, a written statement from the supervisor is required
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position. It is crucial to link your profile to the advertised position. A detailed curriculum vitae with publications (if available). An academic transcript of BSc and MSc education with a course list and
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of Science and Engineering. The preferred starting date is 1 Jan. 2026 Application Applications, including a letter of motivation, a curriculum vitae, a list of publications (if any), transcript of master and
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The Groningen Institute for Evolutionary Life Sciences (GELIFES - https://www.rug.nl/research/gelifes/ ) offers a 4-year M20 Program funded PhD position for a project on “Multi-dimensional
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sector. How do we protect fundamental rights when algorithms help decide on who receives public benefits, how to perform enforcement or how to enact environmental policy? What is the role of the state, and
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Research and Logistics group at Wageningen University, the Zero Hunger Lab at Tilburg University, and four industry partners. In this project, you will develop and advance optimization models and algorithms