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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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materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300
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the molecular-genetic foundation for how microbial physiology is shaped by fermentation and formulation processes—and how those processes, in turn, affect the application efficacy of microbial products
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interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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formal qualification, you must hold a PhD degree (or equivalent). The ideal candidate holds a PhD in entrepreneurship, innovation studies, economics, management, or a related social science discipline, and
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”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer
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research center at Aarhus University and the Royal Academy of Music, Aarhus/Aalborg, Denmark (RAMA) aiming to address the dual questions of how music is processed in the brain and how this can inform our
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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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of PhD diploma - if PhD diploma has not yet been received, please include statement from your supervisor Two reference letters Shortlisting may be used in the assessment process. Incomplete applications