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requirements for our PhD programme . Candidates should have a strong background and first degree in chemistry or pharmaceutical sciences or a closely related subject (BSc/MChem/MSc). Industrial experience
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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Are you fascinated by working at the intersection of physics and synthetic biology? This PhD project offers a unique opportunity to develop autonomous microswimmers, which are bioinspired structures
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 8 hours ago
requirements Applicants for the PhD programme must have successfully completed a university course of study in veterinary medicine, medicine, dental medicine (state examination), biology, biochemistry, chemistry
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infrastructures, and AI-supported reasoning over geographic information. You have the following qualifications: a Master’s degree (completed or near completion) in GIScience, GeoInformatics, Computer science
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21 Aug 2025 Job Information Organisation/Company Faculdade de Medicina da Universidade do Porto Department HR - Human Resources Research Field Medical sciences » Other Researcher Profile First Stage
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 8 hours ago
Degree PhD or (if applicable) Dr rer nat Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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Europe | about 1 month ago
Lisboa (Iscte)Research Field: Electrical Engineering, Physics, Computer Science, Applied Physics/OpticsResearcher Profile: First Stage Researcher (R1)Application Deadline: 26 August 2025 – 23:59 (Lisbon
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Project opportunities via the website. Student type Current Students Future Students Faculties and centres Centre for Aboriginal Studies Faculty of Business and Law Faculty of Health Sciences Faculty
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy