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Field
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collaborate closely with research groups from the fields of chemistry, engineering, and physics; to play an active role in interdisciplinary institutes such as the Bavarian Polymer Institute (BPI), the
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research at the interface of computer science and electrical engineering. You develop an independent research profile that makes mathematical methods applicable to computer science, automation
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) is needed. You should hold a MSc. or Dipl. degree in aerospace or mechanical engineering well above average and you should have experience in designing, building and testing/flying of UAV concepts or
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this process. The lab also aims to understand the role of microorganisms in plant nutrition. The project specifically addresses control of sulfur metabolism. YOUR TASKS The project aims to understand
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methods or data processing is desirable Very good command of German and/or English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate
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foundation models? Are you ready to organize and process large amounts of Earth system data as well as develop tools to improve the efficiency and user-friendliness of large-scale data handling? Then
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: Applications are exclusively accepted through the Recruitment Portal ( https://phdrecruiting.medunigraz.at/ ). The required information is specified in the recruitment portal and comprises
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world, especially the USA, the UK, and Germany. Your Profile: Excellent university degree in engineering, chemistry, materials science, physics, electrochemistry or a similar discipline Strong
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Dresden, Sachsen | Germany | about 2 months ago
Recreation: 30 days annual leave, flexi days, plus public holidays International Staff Service: Support with the relocation and integration process in Germany Health Promotion: Sports, company doctor
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-process architecture while contributing to the overall modelling pipeline, evaluation, and transfer to new cities. Your focus will be on: - you will develop scalable data pipelines for heterogeneous