104 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at University of Southern Denmark
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school outreach activities. Teach in educational programs at the department, mainly within the pharmacy education. Participate in the daily operation, administration and further development
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project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
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with 3D data processing or point cloud analysis Familiarity with machine learning or data-driven modelling approaches Ability to work independently and collaboratively in an interdisciplinary research
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initiatives, as well as a wide range of research-related tasks such as qualitative data collection and analysis as well as writing academic publications. More information on “Digging for the Climate”: https
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joint project with the pathology at OUH. Here, the student shall develop statistical and machine learning approaches to identify potential cancer on whole slide scans. The student contributes
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initiatives Commitment and ability to teach and supervise students at bachelor’s and master’s levels, including course development in digital design, computer architecture, and AI hardware Strong communication
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sustainable machine learning approaches and addressing renewable energy related projects. Likewise, deploying a novel paradigm of KGML (knowledge guided machine learning) can propel further research. PhD
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of machine learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics
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applications Statistical, machine learning, or other quantitative methods Multi-criteria decision analysis and decision support methods Application-oriented research supporting sustainability transitions
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with Robotics Excellent programmer in Java / C / Python / ROS or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical