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will prioritize them over others with equal qualifications. Your benefits We provide experience and supervision in the emerging chemical technology of porous crystalline materials, supported by
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the field of biotechnology, bio-/chemical engineering, (bio) process engineering, bioinformatics, biophysics or biomathematics. Ideally you have Programming skills and knowledge on machine learning and
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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Description At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13
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or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property
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interdisciplinary collaboration. We are seeking highly motivated doctoral researchers with a M.Sc., or equivalent, in materials science, chemistry, mechanical engineering, physics, mathematics, or electrical
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or academia. Qualifications The candidate will hold a Masters in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager to learn more and has a strong
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. Founded in 1828, today it is a globally
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well as share research knowledge via teaching. Qualifications The candidate will hold a Master’s in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager
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collaboration with Prof. Bryce Richards (IMT). The PhD will be registered in the Faculty of Chemical and Process Engineering. Contact Prof. Dr.-Ing. Andrea I. Schäfer, Institute for Advanced Membrane Technology