8 Physics "Lawrence Livermore National Laboratory" PhD positions at Forschungszentrum Jülich
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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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. 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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H2 profiles in collaboration with our modeling department Your Profile: MSc in meteorology, physics, chemistry, environmental sciences or a related field with good final grade (German system equivalent
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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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analysis of collected air samples with the GC-HID-ECD system Investigate the climate impact of the measured H2 profiles in collaboration with our modeling department Your Profile: MSc in meteorology, physics
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the overall design Your Profile: Master’s degree in the field of natural sciences, engineering, or a related field of study Knowledge of energy process engineering is an advantage Huge interest in energy
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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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, or a related field of study Knowledge of energy process engineering is an advantage Huge interest in energy technology and economics Experience in energy system modeling is beneficial First programming