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pharmacy. In close collaboration with partners from industry, healthcare, and society, we contribute to the urgent challenges of our time, such as energy, sustainability, digitization, and medical technology
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
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(e.g., taxonomy, evolution, ecology, and geology). You will receive dedicated supervision from an experienced researcher and work closely with several international experts and collaborators with whom
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reaction mechanisms. In collaboration with the Chair of Physical Chemistry we will advance CSIA to mechanistically characterize photocatalytic reactions under controlled conditions, with the ultimate goal
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Faculty of Arts The Faculty of Arts is committed to the development of knowledge with a strong scientific and social impact. With over 500 academic and support staff, we teach and conduct research
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chemistry and study the physicochemical properties of peptides loaded into the materials. Build surrogate models and apply machine learning techniques to extract design rules and rapidly screen thousands
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rehabilitation. The PhD project Fatigue in Motion is conducted in close collaboration with Sint Maartenskliniek, a leading specialist hospital in posture, gait and movement disorders, and Kinetic Analysis
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therapy on recovery from substance use disorder (SUD). The project involves treatment and research sites across six European countries as well as collaborating partners in Israel and Palestine, bringing
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machine-learning approaches. Established markers such as neurofilament light chain (NfL) and GFAP will provide a biological reference point for identifying disease-specific biomarkers. A central part of the