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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns at the nanometer scale. We will use available
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Programme for Future Leaders in Science The International Max Planck Research School for Molecules of Life (IMPRS-ML) is a centre of excellence for the training of doctoral researchers in the areas
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“PhytoM - Leibniz Professorship for Phytonutrient Management” at the Technische Universität Berlin: PhD student (f,m,div) in the Field of Physiology and Food Chemistry Reference number: 21/2025/3 The salary
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, German Diploma, or equivalent degree in life sciences, physics, chemistry, informatics, or a related field Final grade of 2.0 or better (according to the German grading system) Language requirements As
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can join the programme immediately and improve their German during their studies. International doctoral students will have to provide proof of German at the level C1 (Common European Framework
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available in the further tabs (e.g. “Application requirements”). Programme Description Higher education graduates of outstanding academic merit who plan to complete a doctoral programme or carry out
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). Please also plan ahead to inform and get consent from two academic referees who agree to submit reference letters on your behalf. Applications for the PhD programme in Solar System Science may be
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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publications and project reports Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, materials science, chemical engineering, or a related discipline Extensive knowledge
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highly collaborative and interdisciplinary research environment, where you'll work alongside experts from fields such as transport and urban planning, engineering, data science, computer science. Skill