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conditions: Scientific Area: Product Design or related areas Recipients: Masters in Industrial Design, Product Design or related areas, enrolled in a PhD or non-degree course, in the scientific areas indicated
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) of the European Union, and the Portuguese Foundation for Science and Technology (FCT)/MCTES, I.P., through the State Budget. 3. Admission requirements: PhD in Materials Science and Engineering Physics. Proven experience
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commitment to enroll in a study cycle conferring an (PhD) degree in Biotechnology of Escola Superior de Biotecnologia - Food Engineering or related areas. Candidates must have a master’s in science in Food
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the educative programme of University of Aveiro or in a PhD programme 2) Admission requires experience in lab cultures and toxicity tests with C. elegans. The proof of enrolment as mentioned in item 1) must be
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conditions to enrol) in a course that does not confer an academic degree integrated in the educative programme of University of Aveiro or in a PhD programme 2) Admission requires experience in soil monitoring
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science Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 22 Oct 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per
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Stig Brøndbo 22nd October 2025 Languages English English English Faculty of Science and Technology PhD Fellow in Knowledge-Driven Machine Learning Apply for this job See advertisement The position A
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 1 month ago
: Electrotechnical and Computer Engineering. Admission requirements: Students enrolled in a PhD. program in Electrotechnical and Computer Engineering, or in related areas, or alternatively, an MSc degree in
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, including the duration of the initial contract. It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (http://drh.tecnico.ulisboa.pt
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clinical texts according to the ICD taxonomy, (b) explainability methods to be used in connection with models for clinical coding. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research