37 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions at Aarhus University in Denmark
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motivated candidate who has A PhD in agricultural science, crop modeling, agroecology, digital agronomy or similar Collaborative skills and ability to demonstrate commitment in teams A fondness of taking the
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Applications are invited for a 2-year position in the field of CFD and modeling of heat pumps at the Department of Mechanical and Production Engineering, Aarhus University, Denmark. Expected start
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The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum
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the sea, combining rich cultural life with easy access to nature. Qualifications PhD in mathematics (completed or expected before start date). Preferred research record in probability theory, analysis
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. Aarhus – a vibrant university city by the sea, combining rich cultural life with easy access to nature. PhD in mathematics (completed or expected before start date). Preferred research record in
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related to the first lab-scale testing of the technology. Tasks include: Building up an experimental proof-of-concept for assessment of the basic working principles the technology Quantification of reaction
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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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. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. As a postdoctoral research fellow you will be working
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. As a Postdoc, you will be working at Aarhus University Hospital or another hospital in
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modelling of diffuse scattering using X-rays, electrons and neutrons to establish local structure and correlated disorder in advanced materials and including ultrafast femtosecond science. The project