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technology and recycling group. It focuses on applications where its expertise in materials science, chemistry and metallurgy can make a real difference. Its activities are organised into three business groups
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 10 hours ago
preparing publications in peer-reviewed journal. Your Profile M.Sc. in (Electro)Chemistry, Physics, Electrical Engineering, Materials Sciences or equivalent qualification Experience in setting-up, operating
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the standardization and harmonization of data across platforms. Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical
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. pastoris, ... ) as well as bacteria. Excellent proficiency in English, both written and spoken. A master's degree (M. Sc.) or Diploma in chemical engineering, bioengineering, biotechnology, microbiology
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. Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical phenomena. Ensure the integration and effectiveness of AI
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Technology of relevance to the specific PhD position, including laboratory experience Motivation to work at the interface of disciplines (Chemistry, Biology, Engineering and Physics) Good interpersonal
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based at BayBatt which brings together battery-specific expertise in physics and chemistry, material science and engineering, as well as information technology and economics as a supra-regional competence
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scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing
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scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing
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to the deformation of the contacting solids, which is to be described by means of boundary element methods. The work builds on results of ongoing PhD studies within the project P1 of the Research Training Group 2450