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analytics, and spatio-temporal and quantitative criminology. The position will start on 01 Oct 2025, or as soon as possible thereafter. The selected PhD student is expected to contribute to a FWO research
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good analytical skills, as we expect you to be both a scientist and an engineer. Good to excellent English language skills (spoken as well as written). As the PhD position is highly interdisciplinary
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students are encouraged to apply. WHAT WE CAN OFFER YOU We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which - after a positive evaluation, will be extended
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international interdisciplinary research team focused on computer vision and surgical video analysis, we are looking for a motivated research assistant. This is a full-time, one-year position that is renewable
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excellent predisposition to learn how to work with these data is a basic requirement). What we can offer you: The PhD appointment is full-time for 4 years (contingent on a positive evaluation after the first
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position is embedded in the ERC project SPACETWIN. This project will focus on the impact of drought, fire and logging disturbances across a range of tropical and temperate forest ecosystems. It will lead to
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processing experimental data in a scientifically sound manner. You are willing to dedicate yourself to this research project for a period of four years. WHAT WE CAN OFFER YOU We offer a full-time position as a
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of GMP production, validation and scientific publication will form a strong foundation for future roles in the biotech/ATMP sector. WHAT WE CAN OFFER YOU We offer a full-time position as a doctoral fellow
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- Google Scholar ) and Prof. Dr. ir. Tony Belpaeme (Tony Belpaeme - Google Scholar ). We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which - after a
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independently. You are willing and able to take joint responsibility with your supervisors for the progress of your research. WHAT WE CAN OFFER YOU We offer a full-time position as a doctoral fellow, consisting