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in teams Good language skills in English Good communication skills Ability to be on-site approx. once per week Especially suitable for students with the field of study in computer science, mathematics
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Our application process is not yet fully accessible. If you need assistance, please contact us – we'll be happy to help. If you have any questions please contact: Dr.-Ing. Dennis Kundrat
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will
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, molecular biotechnology and computational sciences. The modern Campus harbors the buildings of the science faculties and institutes, in direct vicinity to the University Hospital Heidelberg, the Max Planck
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, we are further developing the resistance spot welding (RSW) process with an industrial focus. We are developing new methods and investigating the application potential for artificial intelligence
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Technomathematics, computer science, engineering, physics, mathematics or natural science or equivalent degree Very good knowledge of techniques and methods of computer-aided sciences Knowledge and experience in
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to the table Study of mathematics, computer science, physics, engineering or similar with good to very good grades Strong programming skills in Python with knowledge of frameworks such as NumPy, Pytorch, Pandas
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or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property
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to the table You are a student in chemical engineering, chemistry, process engineering or a comparable field of study You have solid knowledge in catalysis and reaction kinetics Laboratory experience in