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part in teaching and supervision at BSc and MSc level, and to take responsibility in grant application writing. We seek a candidate with knowledge of the application and analysis of Sensory & Consumer
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. Applicants with interests and experience in any of galaxy formation, Lyman-alpha absorption, ISM/CGM evolution at high redshifts, JWST NIRSpec spectroscopy, ALMA spectral data, and statistical inference
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. An MSc degree in a relevant area is desirable though not necessary. Any previous experience is desirable including: Working knowledge of quantitative and/or qualitative research methods – for example
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aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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quantum hydrodynamics , Soft Condensed Matter Physics , Soft Condensed Matter Theory , Soft Matter , Space Technology and its Applications , spin-orbit coupling , Statistical Mechanics , Statistical physics
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at scientific conferences and by writing scientific articles and a PhD thesis; attending PhD courses as part of the graduate education program. Where to apply Website https://www.academictransfer.com/en/jobs
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, labour and personnel economics, to be determined in coordination between the PhD student and the supervisors. This PhD position also involves: For candidates who have an MSc or MA degree (and not an MPhil
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) Teaching language English Languages All courses are held in English. Programme duration 6 semesters Beginning Winter and summer semester Application deadline Interested MSc graduates or doctoral candidates
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collecting and analyzing survey data You took classes in statistics and econometrics, gained practical skills in this area (e.g., data analysis for your MSc thesis), and you seek to develop your skills further
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these representations can be combined with concepts from physics‑inspired machine learning, drawing on statistical physics, dynamical systems, and stochastic processes, to design robust, interpretable, and mathematically