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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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, physics, computer science, mathematics, electrical/electronic engineering or a related subject Strong programming skills (Python) Familiarity with machine learning and deep learning frameworks (e.g
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researchers and students Explore new funding opportunities Or, in other words, build up your own research field! Your Profile: Master degree and doctoral degree (PhD) in electrical engineering, physics
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-economically cost-optimal design of a process chain for the production of green hydrogen and methanol, it is necessary to carefully analyze both global and regional demand and to estimate their future
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an existing simplified model Your Profile: You are studying engineering, industrial engineering, energy technology, physics or a comparable course of study. You are also characterized by: An interest in
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, electrical engineering, chemistry or related fields Know-How in the physics of semiconductors and ideally in spectroscopy of semiconductors Very good grades in bachelor and master courses Very good spoken and
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degree in Engineering, Computer Science, Physics, or a related field, with a strong research interest in sustainable energy technologies and automated systems. Demonstrated experience in programming
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: Very good performance in your Master`s degree in the fields of energy technology, mechanical engineering, materials science, civil engineering, industrial engineering, physics, resource management
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found using the classical algorithms (from 1) with Quantum Optimization Ansatz (from 3) Your Profile: Enrolled as master student in a university Good background in physics, electrical engineering
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preparation Deriving insights for film and device fabrication based on the above described workflow Your Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and