55 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Technical University of Denmark
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools
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of public-health professionals and PhD-students. The day-to-day work will be performed in close collaboration with other researchers in the Risk-benefit Research Group and within the project consortium
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development, and computational algorithms A solid understanding of theoretical chemistry and solvation models such as COSMO The ability to work independently as well as collaboratively within a
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collaborative effort, internally within experimental groups at DTU and externally with other leading universities. CatTheory has a strong infrastructure and computational facility. Responsibilities and
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of BSc, MSc and PhD students assist in experimental teaching activities (lab courses) As a formal qualification, you must hold a PhD degree (or equivalent). Extensive experience in cleanroom-based micro
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computational and experimental techniques. Play an active role in education and outreach in protein design, including contributions to teaching and mentoring activities. You must have a PhD in a relevant field
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and vision in developing new quantum technologies as well as determination to make experiments work and deliver high-impact results. As a formal qualification, you must hold a PhD degree (or equivalent
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for professional development and training towards an independent research career. Responsibilities and qualifications We are looking for creative and ambitious researchers with PhDs in chemistry, materials science
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estimation. Performing experiments to investigate synthetic samples, field samples, and samples from other projects in the program. This will require a well-established connection to other projects. Co
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of structural response models against measurements. Support the structural dynamics and multi-body modelling efforts in HAWC2. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD