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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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at the candidate or master level, for example, Chemistry, Biology, Geology, Cognitive Science, Educational Psychology, Human-Computer Interaction, Education Sciences, or other relevant programmes that include
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chosen by the hiring committee for the position. A mentoring programme will be offered, tailored to the individual applicant. PACE – Lundbeck Foundation Parkinson’s Disease Research Center PACE is a newly
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responsible for a Master’s programme in Molecular Nutrition and Food Technology, taught at AU, Denmark, and a Master’s programme in Food and Health at the Sino-Danish Center in Beijing, China. In addition
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) Private Equity Market Microstructure Trading (High Frequency) Commodity Markets Quantum Computing in Finance Artificial Intelligence in Finance Risk Management and Financial Engineering Quantitative Methods
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organisation and management. The teaching will primarily take place within the Master’s degree programme in education science and the professional Master’s degree programme in educational leadership. Research We
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contingent on a positive assessment and being chosen by the hiring committee for the position. A mentoring programme will be offered, tailored to the individual applicant. PACE – Lundbeck Foundation
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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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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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time