94 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"IMPRS-ML"-"O.P" positions at Nature Careers in Denmark
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, consultation and inclusion, and contributing to the Department strategy and working environment is viewed as important. The Department is responsible for a Master’s programme in Molecular Nutrition and Food
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or soon thereafter. The educational activities for these positions are aimed at students in veterinary medicine at both the bachelor and master levels. The veterinary medicine programme is structured
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and biology. The department’s research thus contributes to new knowledge and solutions with applications in the areas of climate, environment, energy, and health. Read more about the Ph.D. program at
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal healthcare for you and your family as residents. Five weeks of paid
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qualifications relevant to the PhD project Previous publications Relevant work experience Other professional activities A curious mind-set with a strong interest in human evolutionary history, programming, archaic
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. Support for international researchers and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition in animal agriculture
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entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient