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of future experimental platforms. Securing research funding to support and expand activities in this domain. Supervising and inspiring students at all academic levels. You must contribute to teaching at
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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Berlin. The position is part of the research group QUALITY.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project “PhytoM” is has
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Job Description Do you have a background in bioinformatics or AI/ML? Do you wish to do a PhD whereby you use your computational skills to discover new insights in industrially important bacteria
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(or equivalent score) both for the programme in total and the master’s thesis. See admission requirements: PhD in Biosciences A good knowledge and practical experience in molecular ecology, population genetics
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, both oral and written Grade average of B or better (or equivalent score) both for the programme in total and the master’s thesis Desired qualifications: Good knowledge about population ecology Good
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Universität Berlin. The position is part of the research group QUALITY.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project “PhytoM” is
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variants of importance sampling. We will connect these methods to modern formulations of Monte Carlo algorithms to improve their accuracy, scalability, and overall computational cost. The methodology so
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-criticality control architectures will allow almost unlimited off-board computational power to be used to optimise operational decision-making in near to real-time. Safety will remain paramount. New tools and
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field of study is required Applicants from outside the EU/EEA must submit NOKUT approval of their master’s degree Grade average of B or better (or equivalent score) both for the programme in total and the