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, which leads to a PhD degree in an EU Member State or Horizon Europe Associated Country. About the Host Institution The University of Aveiro (UA) Created in 1973, the University of Aveiro (UA – https
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concerning State Employees and Civil Servants , and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment
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at the University of Beira Interior https://www.ubi.pt/entidade/C-MADE under the following conditions: Research Field: Civil Engineering Objectives: Development of predictive models and adaptive prototypes for river
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environment, and climate change. Requirements A PhD in Wind/Civil/Structural Engineering or a closely related field (e.g, Environmental Engineering, Mechanical Engineering, and Aeronautical
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
Biomedical Sciences, Biomedical Engineering, Pharmaceutical Sciences, Biochemistry, Bioengineering, or related fields with a minimum grade of 17/20; - Candidate must be enrolled in a PhD program preferably in
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developing the teaching program at the department. The candidate must hold a PhD in physics or equivalent and document the ability to teach physics at all levels of the University curriculum. The successful
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, of the Valencian Civil Service it is hereby stated that the percentage distribution in the contractual job vacancies of PhD senior researcher for research projects is 71.43% for women and 28.57% for men, so there is
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developing the teaching program at the department. The candidate must hold a PhD in physics or equivalent and document the ability to teach physics at all levels of the University curriculum. The successful
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are encouraged to apply, but we especially encourage specialists in the fields of hydrogeology and/or petrology/structural geology. Expectations The appointee will develop their own independent research profile
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University of Stavanger invites applicants for a PhD Fellowship in in molecular modelling and machine learning for improved subsurface utilization, at the Faculty of Science and Technology, Department