108 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Southern Denmark
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Learning Experience Design The department offers an inclusive and international working environment with state-of-the-art facilities and strong traditions for collaboration across research groups
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at https://www.sdu.dk/mmmi. Curious? If you are interested in learning more about the position, please contact Torben Worm (Head of Centre) tow@mmmi.sdu.dk Mikkel Baun Kjærgaard (Vice Head of Centre) mbkj
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speaking Danish. The candidate is expected to fulfil the criteria for enrolment as a Ph.D. student at the University of Southern Denmark. For more information, please visit: (https://www.sdu.dk/en/forskning
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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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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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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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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