601 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions in Denmark
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, University of Copenhagen, DK, jhjensen@chem.ku.dk The PhD programme Depending of your level of education, you can undertake the PhD programme as either: Option A: A three year full-time study within
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. Below, intended research objectives are listed, but the list is not exclusive. We expect the qualified candidate to further define the plan for the PhD within the first three months of employment
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learn Your Skills and Attributes We hope you can tick off some of these: A structured approach to tasks The ability to juggle multiple tasks with ease A desire to contribute to the green transition What
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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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collaboration, as part of the employment process at the University of Copenhagen. Notice: In the following description of the PhD programmes, some references are made to SCIENCE websites The PhD programme
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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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with multiple partners at other universities and the industry. You can look forward to being part of a welcoming environment where we share the belief that open minded collaboration is the way forward if you want
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we build capacity related to surveillance of AMR in multiple low- and middle-income countries. As acknowledged reference laboratory for AMR for EU, WHO and FAO, we work with various efforts including
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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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to develop robust experimental designs, to conduct data processing and statistical analysis with relevant programming language(s) (such as Python and R), and to handle high-dimensional research data to a high