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Field
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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knowledge in food chemistry and superior interest in food systems biology, food-related research • Keen interest in learning and applying experimental biophysical techniques, in particular AFM (essential
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able to teach you missing skills during your induction. Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We
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-Lettres network) or teach courses themselves (e.g. if obtaining a post/"contrat" doctoral at one of the institutions). Special promotion / funding of the programme Franco-German University (FGU) Course
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knowledge of the English language high problem-solving ability, motivation/interest in scientific research, willingness to learn and work in a group applications showing previous experience with numerical
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for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during your induction. Our Offer: We work on the very latest issues that impact our society
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independently and as part of a multi-disciplinary team a strong interest to acquire biological knowledge and work together with life scientists very good communication skills in English Are you interested? Then
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are looking for first-class graduates with expertise in the CRC-addressed PhD subjects, high interdisciplinary desire to learn and willingness to cooperate, openness for internationalization and diversity, very
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expertise. In addition, programme participants acquire a certain breadth in the field as they interact with fellow students, participate in PhD training sessions and attend lecture series featuring prominent
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with chemoreception and sensory biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data