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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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approaches for the computational analysis of time-resolved data on reactions, contribute to teaching and supervising BSc and MSc student projects Qualifications You must have a two-year master's degree (120
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languages. The positions have a duration of 3 years for candidates who have completed a relevant MSc degree, or 4 years for candidates who have completed 1 year of relevant MSc studies. The hired candidates
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Nanolab and supervise BSc and MSc student projects You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in micro
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programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree. Option B: An up to five year full-time study programme within the framework of the integrated MSc and
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the framework of the integrated MSc and PhD programme (the 3+5 scheme), if you do not have an education equivalent to a relevant Danish master´s degree – but you have an education equivalent to a Danish
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full-time study programme within the framework of the integrated MSc and PhD programme (the 3+5 scheme), if you do not have an education equivalent to a relevant Danish master´s degree – but you have an
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an education equivalent to a relevant Danish master’s degree. Option B: An up to five year full-time study programme within the framework of the integrated MSc and PhD programme (the 3+5 scheme
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special focus on the possibilities offered by dynamically controlled cavities and extreme light confinement. You will have the opportunity to co-supervise BSc and MSc students. The project is funded by
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English in one PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description