25 condition-monitoring-machine-learning PhD positions at University of Southern Denmark in Denmark
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synthetic fuel reactors. Tasks include gas handling, system diagnostics, thermal integration, and performance evaluation under variable power inputs. Data Analysis and Machine Learning: Collect and process
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critical ecological condition caused by decades of excessive discharge of nutrients. This have resulted in a biodiversity crisis with massive loss of eelgrass and associated fauna in the impacted areas
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Job Description To support advancements in artificial intelligence (AI), machine learning, and data science at the University of Southern Denmark, the Maersk Mc-Kinney Moller Institute invites
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breast cancer metastasis. Cancer Cell 38(3):412-423.e9. Papachristou et al., 2018. A quantitative mass spectrometry-based approach to monitor the dynamics of endogenous chromatin-associated protein
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. The consortium consists of world-class scientists with competences spanning chemistry, biochemistry, computer science, and machine learning. All fifteen doctoral candidates will work with two research groups, and
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TZ complexes, you are expected to determine the molecular structure and function of a TZ sub-complex consisting of 3-5 proteins. You will monitor the gating mechanism of TZ in cellular models such as
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which allows to acquire knowledge in new experimental techniques and quantum matter physics. We offer: • A PhD Student position in an ambitious and supportive, international research environment • A
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degree at the highest international level. You will become part of an active learning environment, in Denmark as well as abroad, and you will obtain an extensive academic knowledge e.g. by participating in
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at the Department of Public Health. You will also be given the opportunity to participate in the bi-weekly research meetings at the department of Clinical Biochemistry, Herlev Gentofte Hospital, where you will learn