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and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. We place a particular emphasis on LOHC technology, addressing issues across different scales. Our
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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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engineering, materials science, mechanical engineering or other related fields Strong background in physical chemistry and thermodynamics including the development and understanding of phase diagrams Experience
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Engineering or Chemistry, Physics or Informatics Experience with experimental work and characterization techniques Demonstrated experience in programming, particularly in Python, with a robust understanding of
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Your Job: Join the EU funded SAGELi project to develop and advance battery chemistries by introducing new functionalities into an existing battery technology to achieve ultra-high performant
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Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and related disciplines Very good grades in the masters and bachelors degrees are mandatory Knowledge
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thesis. Your Profile: Successfully completed Master`s degree in the field of materials science, engineering, physics or chemistry or a similar field Very good knowledge in the field of solid-state
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: Successfully completed Master`s degree in the field of materials science, engineering, physics or chemistry Very good knowledge in the field of solid-state chemistry and materials engineering Experience in
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, chemistry, material science, chemical engineering, or related disciplines Knowledge of X-ray methods Experience in the field of energy storage Experience with programming languages (ideally Python) Fluent in