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data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s degree in Engineering, Computer Science, Physics
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plant design is identified by considering the energy supply system, the choice of capture technology, the DAC-plant’s technical design, the DAC-plant’s operational concept and the positioning of the DAC
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. Additionally, enjoyment of teamwork is an important requirement. Masters degree in electrical/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong
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/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong electronics background, with experience in design and simulation of analog, digital
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: You will strengthen the data science and machine learning
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: https://www.fz-juelich.de/profile/frunzke_j Your Profile: Highly motivated and excellent candidates with a Master of Science degree in biology, biochemistry or related subjects are strongly encouraged
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cells are to be demonstrated. The work is part of a Franco-German project on high-performance batteries and also includes a research visit to France. Your tasks will mainly include the: Use of state
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visit to France. Your tasks will mainly include the: Use of state-of-the-art synthesis processes for the production of graphene oxide-based active materials Optimization of the process to achieve
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Academy of Sciences. The TeAM-uP project will investigate the effects of arbuscular mycorrhizal fungi (AMF) on soil and rhizosphere hydraulic properties and its consequences for host plant water and
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to develop and advance battery chemistries by introducing new functionalities into an existing battery technology to achieve ultra-high performant, sustainable and smart lithium-ion batteries. Your tasks in