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expected to involve approximately equal measure of analytical, computational, and exploratory work. You are expected to help advance the theoretical understanding, e.g., by development of new theoretical
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Associate Professor Krzysztof Sierszecki (krzys@mmmi.sdu.dk ). If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Applicants are advised to read the SDU information
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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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researchers and accompanying families, including a relocation service and an AU Expat Partner Programme . You can also find information about the taxation aspects of international researchers’ employment by AU
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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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qualifications for each position separately within the application letter. Contact information For information about the project, please contact Professor Rasmus Glenthøj at rasmusg@sdu.dk . For further
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independently, who is motivated to help and be part of a dynamic research environment, and who has a positive, supportive and creative outlook. We expect you to have good communication and personal interaction
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work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context
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this role, you will help to interpret complex multimodal data, and you will do it in collaboration with top research scientist in the field and in an international, motivating, flexible, supportive, and
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context