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TASKS The Marchal lab (IDLab/IMEC Ghent University, https://idlab.ugent.be/people/802000961346 ) has an open PhD position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project iSTRIDE
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ecosystem services and for maintaining the integrity and diversity of ecosystems in a changing world. We are looking to fill the position of a PhD student (m/f/d) in the field of forest management, 65
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9th May 2026 Languages English Norsk Bokmål English English The Arctic University Museum of Norway and Academy of Fine Arts PhD Fellow within Artistic Research Apply for this job See advertisement
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
for applications in water stress mitigation, nutrient retention, and soil regeneration. This work directly contributes to water scarcity resilience and climate-smart agriculture. Job Qualifications PhD in Chemistry
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to intrusion detection. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable. Enrolment in PhD in computer science or a related field. Work plan: The goal is to
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, and AI, with a strong methodological focus. Where to apply Website https://www.academictransfer.com/en/jobs/359346/phd-position-large-language-mod… Requirements Specific Requirements We are looking
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of employment, the candidate must hold a PhD degree in either computer science or mathematics, provided that: the PhD degree should be obtained no earlier than 12 years before the year of employment (i.e
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Murguia and Nathan van de Wouw. Where to apply Website https://www.academictransfer.com/en/jobs/359999/phd-on-secresy4you-hybrid-physi… Requirements Specific Requirements A master’s degree (or an equivalent
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· Communicate project progress and coordinate with research team Duration: · 3 ½ months Preferred start date as soon as possible but flexible. Basic Qualifications: · PhD or equivalent in engineering, building
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splicing. We will combine two areas of expertise: fine-grained analysis of DNA sequences (computer science) and understanding of cellular identity through embeddings trained on millions of cells