88 computational-physics "https:" "https:" "https:" positions at Forschungszentrum Jülich
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Early Operations phases Present your research at international conferences and in peer-reviewed journals Your Profile: A Master’s degree in physics or a related field is required Strong background in
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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
Your Job: Development and evaluation of process concepts in the field of liquid organic hydrogen carriers (LOHC) Development of steady-state and dynamic process and reactor models for the simulation
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entropy or Kullback-Leibler divergence vs. measurement time Analysis and documentation of the results Your Profile: Excellent academic performance in a master’s program in electrical engineering, materials
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Master`s program in the field of process engineering, chemical engineering, energy engineering, environmental engineering, or a related field Good knowledge of thermodynamics, process engineering, and
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publications and project reports Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, materials science, chemical engineering, or a related discipline Extensive knowledge
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program in the field of process engineering, environmental engineering, biotechnology, chemistry, or a related field Interest in process simulation Excellent organizational skills Ability to show initiative
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testing process Your Profile: Excellent masters degree in physics, electrical engineering, mechatronics, process engineering or a similar field Strong interest in pursuing research on electrochemical
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding
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science, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time