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thesis projects are developed and supervised by two professors. Methods courses give opportunities to learn and perform new techniques. This programme cooperates with the Ruhr-Universität Research School
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Master-Thesis: Machine Learning-based Heating Curves for Heat Producers in District Heating Networks
sources. The principle of operation of a DHN is the transport of water heated by the decentralized producers to the consumers, who can extract heat from this water and thereby lower the water temperature
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« »Transport Processes« »Image Processing« »High Performance Computing« »Financial Mathematics« »Materials Characterization and Testing« What you bring to the table The requirements for your field of activity
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-performance computing infrastructure. Opportunities to publish in high-impact journals and present at international conferences. Career development support and mentoring. Collectively agreed remuneration
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Degree PhD; Dr rer nat; Dr rer biol hum; Dr med Course location München In cooperation with Stiftung Patient & Klinische Pharmazie Teaching language German English Languages The programme is mainly
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). Your primary involvement will focus on Research Area 3. Required qualifications: Documented experience in developing and applying ocean models Experience using high-performance computing systems
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increasingly important, but also more complex, due to rising demands on performance, precision, quality, and sustainability. Bayesian optimization (BO) - a special machine learning approach - represents a
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Background in Psychology, Educational Science, Computer Science, Neuroscience, or a related field Fluent in German Strong verbal communication skills Ability to work independently and excellent organizational
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industry. The center offers an excellent working environment with access to state-of-the-art technologies and an outstanding high-performance computing infrastructure. For TUD diversity is an essential
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„Research for a life without cancer“ is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention