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Prof. Michele Cucuzzella, and the candidate will be embedded at the Engineering Technology Institute of the University of Groningen (ENTEG). ENTEG research is highly multidisciplinary in nature and
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available at the Centre for Optimisation and Decision Science at Curtin University. The research will focus on developing robust adaptive techniques for solving complex problems in mathematical physics
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technology, and process optimization using mathematic modeling - Evaluate modified growth factors under real conditions with medium recycling - Independent work on research projects - Close cooperation with
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23.10.2023, Wissenschaftliches Personal The Technology and Innovation Management (TIM) Group at the TUM School of Management of the Tech-nical University of Munich, headed by Prof. Dr. Joachim
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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
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inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering
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, statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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benefits. The initial appointment is for a period of two years and can be renewed for another two years. The successful candidate should have a Master's degree in computer science or mathematics. Since