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Department of Chemistry and Chemical Engineering , contributing to a highly interdisciplinary research setting. We seek candidates with the following qualifications: PhD in materials science, physics, polymer
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of Life Sciences . We are six research groups working together at the intersection of biology, chemistry, and physics. Our collaborative research focuses on understanding nucleic acids, proteins, and lipids
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through publications in high-impact journals and presentations at international conferences. Qualifications A PhD in Physics, Chemistry, Mechanical Engineering, Energy Sciences, or a related field, obtained
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teaching at the undergraduate and master's levels, as well as supervising master's and/or PhD students to some extent. Another important aspect involves collaboration within academia and with society at
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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Product Development Material Production - and in the interaction between these areas. The research focuses on the development of the industrial process, from need to finished product while creating added