63 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Technical University of Denmark in Denmark
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involve the following tasks: Supervision of BSc/MSc and PhD students related to the project. Performing catalytic tests on upgrading pyrolysis oil and pyrolysis oil model compounds using an advanced
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, on the technologies and workflows of the Biosolutions Development Pipeline. Teaching will align with your area of expertise. We further expect you to contribute to supervising student projects at the BSc, MSc, and PhD
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academic and non-technical publications. Communicate insights and findings with practitioners and stakeholders. Qualifications: We are looking for candidates with: A master’s degree and a PhD (or submission
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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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properties You will work in close collaboration with a group of senior scientists, technicians as well as postdocs and PhD students. Also, the work will involve collaboration with selected external partners
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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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and present at research seminars and conferences. Mentor and support students and PhD students engaged in related research activities. Promote equity and diversity within the research team, fostering
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tolerant microstructures that can cope well during subsequent in-service use You will work in close collaboration with a group of senior scientists and technicians as well as Post Docs and PhDs. Also, the
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capture simulation. You have strong programming skills and are familiar with thermodynamics and process simulation. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a
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empathic person with a PhD degree in mechatronics engineering, MEMS, neurotechnologies, applied physics, nanotechnology, neural interfaces, biomedical engineering or similar. Advanced skills in electronics