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. Application procedure Your complete online application must be submitted no later than 30 June 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data
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and handling NK cells and/or macrophages will also be appreciated. Knowledge about synthetic biology, CAR/protein engineering and mRNA-transduction is important, but not necessary. Experience with
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
Sensing, Geoinformatics, or similar. We are searching for a highly motivated candidate who has: Knowledge of carbon cycling and dynamics in wetlands Knowledge and experience with working with process-based
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Postdoctoral position in mathematical modelling of cognitive processes to be filled by 1 September 2025 or as soon as possible thereafter. The position is for 2 years. Information about CoInAct can be found
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knowledge on principles of animal disease transmission and control Proficiency in statistical software (e.g., R, SAS, or similar). Creative and interested in exploring new technology and in adopting new ways
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of Environmental Science has about 150 employees working in basic and problem-oriented research within environmental science, including chemical and physical processes and interactions between environment and
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
of Environmental Science has about 150 employees working in basic and problem-oriented research within environmental science, including chemical and physical processes and interactions between environment and
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Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge. This will enable