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Field
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relevant to the subject area: • Victimization and offending • Hybridization of crime • Illicit online markets The research projects may address national or international challenges and should employ
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expect some travel activity between the department’s sites in Aarhus and Copenhagen. The Danish School of Education is committed to diversity and encourages all qualified applicants to apply, regardless
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. On the technical side, the ideal candidate will have demonstrated experience in the use of molecular nucleotide analyses based on eDNA and eRNA; functional activity analyses like enzymatic or respiratory analyses
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others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent frameworks). Hands-on experience with data representation and embeddings, ideally applied
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for researchers may apply. We are committed to fostering an inclusive and diverse research environment. We welcome applications from all qualified candidates regardless of gender, age, disability, religion, ethnic
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communities and their physiological responses to environmental conditions Apply advanced laboratory and analytical techniques to environmental samples Apply for external funding and participate in collaborative
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for persistent pain in humans. CNAP is a research Center of Excellence inaugurated in 2015 by the Danish National Research Foundation at Aalborg University, Denmark (www.cnap.hst.aau.dk ). CNAP applies a basic
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governing transcriptional control of adipocyte differentiation. We apply a variety of sequencing-based, computational, and molecular technologies, combined with loss- and gain-of-function strategies to study
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are looking for applicants with interests in the biogenesis and turnover of nuclear RNA and its relationship to gene expression regulation in mammalian cells. Applied methods range from cell biological over
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, C++, or equivalent) Experience with 3D modelling, rendering, or fabrication, and haptic feedback Familiarity with computational or optimization methods applied to interaction (e.g., computational UI