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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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optimization of the trade-off between accuracy and speed: measurement of throughput (labels/hour), uncertainty/confidence thresholds, human-in-the-loop strategies, cost/benefit considerations for different data
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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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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 - Close
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Oceanography, Meteorology, Physics, Mathematics or a related field is required. We also expect very good English language skills, good programming skills and the ability to work in a team. Preferable would be a
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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