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interdisciplinary training for PhD students. The programme supports you in pursuing innovative PhD projects with a strong application-oriented focus, ranging from mathematics, computer science, bio/life sciences
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the graduate school of the Faculties of Natural Sciences and Mathematics: Georg-August University School of Science (GAUSS). The official language of the PCS programme is English (i.e. German is not necessarily
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of the University of Bremen: Production Engineering, Business Studies / Economics, Mathematics / Computer Science, Physics / Electrical Engineering, and Law. Associated partners are the BIBA – Bremer Institut für
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workshops teaching communication skills, reasoning, problem-solving strategies in science, or simply showing how one can optimally budget energy, GRADE strengthens personal qualities and helps to transform
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Mathematical and computational methods to design and analyse biological systems Engineering biology to address current challenges in sustainability Creating new technology for the interrogation of cells
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involved in research from the start. Our university is currently home to some 11,000 students enrolled in around 120 different degree programmes in the fields of mathematics and natural sciences, humanities
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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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beyond their actual research field. Our research fields are in the following areas Divisions and Departments - Fraunhofer ITWM Optimization Flow and material simulation Mathematics for vehicle development
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TEA of a defined process for cultivated meat with material cycling - Optimize the process, also applying mathematic modeling, to improve yield and sustainability - Independent work on research projects
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the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially