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, you will be focusing on the topic of Brain Neuro-Adaptability to Pain, in particular brain oscillations in pain conditions and non-invasive brain stimulation. You will be working alongside PhD students
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the opportunity to co-supervise BSc, MSc, and PhDs, and we expect you to actively engage with the team and make your expertise available to your colleagues. We seek a talented physicist with an
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Dražević, and will jointly develop the heterogeneous
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level. You will collaborate with fellow PhD students and postdocs from various disciplines and can engage with both academic and industrial partners in Denmark and abroad. You are expected to participate
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
Biology and Innovation, Protein Science, Cellular Health, Intervention and Nutrition. There are currently 75 full time scientific staff and 95 PhD students. The department is responsible for two educations
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members including other synthetic chemists, protein biochemists and the proteomics and metabolomics core facilities. You should have a PhD in protein biochemistry and biophysics, with experience in
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-based simulation model for assessing future mobility technologies in the Greater Copenhagen region. Explore the development of machine-learning based scenario discovery for future mobility policy design
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? The postdoctoral researcher will be responsible for designing, implementing, and analyzing survey experiments that assess how business self-regulation influences public opinion on wage inequality and carbon
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Good level of English proficiency (understood, spoken and written). Team spirit and proactive attitude As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading
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(P2X) application. The outcomes will support reliability testing time reduction in design phase and predictive maintenance in the operation phase. The integration of machine learning assisted approach is