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Field
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Functional Theory (DFT) Familiarity with artificial intelligence methods Good knowledge of electronic structure methods Experience with Linux, Git and related tools Knowledge in the field of high-performance
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Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
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addition, you will maintain and operate modern laboratory equipment and independently perform computer-assisted data analysis and laboratory management Training and assistance in day-to-day supervision of
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of nanomechanical resonators using COMSOL and MEEP Development and operation of laser-interferometric setups under ultra-high vacuum (UHV) and cryogenic conditions for the characterization of nanomechanical
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microenvironments Developing high-throughput LC-MS/MS workflows capable of analyzing the proteomes of 500– 1,000 single cells or several preparations of very few cells per day Collaborating with our computational
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? Master programme at a German university and, where appropriate, in conjunction with a non-university research Institution. Duration of the funding The scholarships for master studies have a maximum
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model in collaboration with partner institutions such as the German Climate Computing Center (DKRZ) and German Weather Service (DWD), including GPU porting. They will perform production runs of ICON and
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60% of the coursework in their degree program. What can be funded? A study semester at a German university, followed by a 4 to 6 month internship in a German company Duration of the funding 12 months
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of geothermal energy systems, the storage of energy sources and technologies to couple the energy sectors of heat, electricity and transportation. Machine learning and deep learning methods are increasingly
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Enrollment in a full-time degree program at a German university, preferably in electrical engineering, communications engineering, or physics, with good to very good academic performance Good knowledge in