18 machine-learning-phd positions at PhD Programme "Gene Regulation in Evolution" in Slovenia
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Job Offer: Controlling dynamics in mesoscopic strongly correlated systemsField: Solid State Physics, Ultrafast SpectroscopyPosition: PhD studentInstitution: Jožef Stefan Institute (JSI), Ljubljana
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researchers every year and enrols 190 PhD students. UP carries out 79 study programmes in all three cycles, 16 of which are also held in the English language. In addition, the UP organises from 5 to 10
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area): doctorate (PhD- previous or PhD- third Bologna cycle) in the field of special rehabilitation pedagogy or doctorate (PhD-third Bologna cycle) in the field of teacher education and educational
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. system (ubuntu), expert in computer networks, advanced knowledge of computer networks, knowledge of solutions, acquired cisco certificates are preferred, basic maintenance of computer devices, accuracy and
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Conditions for the position: Required education (degree and major): PhD degree (pre-Bologna) in the field of music or Recognition of significant artistic works in the field of musical creativity and re
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Conditions for the position: Required education (degree and major): PhD degree (pre-Bologna) in the field of music or Recognition of significant artistic works in the field of musical creativity and re
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curious PhD candidates to contribute to this project at the University Children’s Hospital, University Medical Centre Ljubljana, under supervision of Prof. Tadej Avcin and Assist. Barbara Jenko Bizjan
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state physicsEducation LevelPhD or equivalent Skills/Qualifications Ideal candidate should possess a PhD degree in mechanical engineering, physics, material science or related fields. She/he should be
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. Mentor: prof. dr. Giovanni De Ninno: 1 position Research topic: Ultra-fast characterization of complex materials Applications are welcomed for PhD position in experimental physics at the Laboratory
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. The positions pertain to the following PhD advisers: 1. mentor: prof. dr. Ario De Marco: 1 position Research Topic: Comparative oncology The aim of the proposed project is to further develop the study of rare