41 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University College Dublin" uni jobs at Nature Careers in Denmark
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one of the world’s most comprehensively documented fungal collections. You will further be expected to exploit this unique resource to address fundamental scientific questions within evolution, cell
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and/or stem cell-based drug development. They must be aligned with the mission of reNEW, to bring together research excellence to harness the potential in stem cell medicine. Individuals seeking
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period CV including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD
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Assistant Professor Positions in University Science Education Research: Learning Environments, Ex...
and nature-based environments), science teachers and teaching (including faculty development and pedagogical competence), and science students’ experience, engagement and study paths, including student
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4-year Group Leader (Assistant Professor) Position in Colloidal Chemistry Related to new ESS Ligh...
colloidal systems preferably relevant to food or pharma systems. The work is expected to involve the application and development of neutron scattering and methodologies. This should be integrated with
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these links useful www.ism.ku.dk (International Staff Mobility) and https://www.workindenmark.dk/ . Application The application must be submitted in English and must include the following documents
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for Genomic Epidemiology but substantially contribute to the work at the Section of Epidemiology. The Research Group for Genomic Epidemiology at DTU National Food Institute conducts research within evolution
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research CV including employment history, list of publications (applicants applying for the position as associate professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org
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information on the Department see: http://ecos.au.dk/en/ What we offer Excellent research infrastructure with access to state-of-the-art facilities, shared technical equipment, and strong technical support for
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development of deep learning tools applied to different types of genomic data, proteomics, expression data, immune profiling, metabolomics data, or general health data. You will have a proven track record of