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to have the capacity to benefit from the education. General entry requirements for third-cycle education (according to Chapter 7, Section 39 HF) are met by those who have: completed a second-cycle (Master´s
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conferences, write popular science summaries, and participate in teaching and supervision of Master students. Qualifications: We are looking for a motivated candidate with documented experience in animal
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You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you: have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or have satisfied
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presence in Jönköping. Qulification For this position you need to have: a master degree in relevant subject. proficiency in model-based systems engineering (MBSE) directed towards aerospace applications
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(for example a master's degree), or completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or acquired, in some other way
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nursing program, the biomedical analyst program, the dietician program, the prescription program and on various independent courses. The department is also responsible for the master's program in
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EU-MSCA PhD position: Molecularly imprinted polymers for phosphopeptide assays of oncogenic pathways
. Selection criteria Required qualifications: A masters’ degree (or equivalent) in polymer/organic chemistry, bioanalytical protein/peptide science or another related field. Experimental laboratory experience
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. Selection criteria Gequired qualifications: A masters’ degree (or equivalent) in polymer/organic chemistry, bioanalytical protein/peptide science or another related field. Experimental laboratory experience
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robots Your work assignments The primary focus of this PhD student position is research on Vision-Language-Action (VLA) Models to control multiple heterogeneous robots. The research is led by Professor
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like to work at Uppsala University Duties: The doctoral student’s main tasks consist of research in the field of autonomous vehicles and mobile robotics, with a focus on safe model-based predictive