98 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at Forschungszentrum Jülich in Germany
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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for the production of heat pipe components Your Profile: Completed university degree in mechanical engineering, physics, materials science, computational engineering, or a related field, with a PhD or Master degree
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plus Eligibility for FADOS programme: At the time of recruitment, be in the first four years of their research career and have not been awarded a doctoral degree. Mobility rule: The applicant must not
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important to us – we provide targeted and individual support HEALTH & WELL-BEING: Your health is important to us. You can look forward to a comprehensive company health management programme with a wide range
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very latest issues that impact our society
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the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
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. The aim is to explain experimentally observed metastable behavior and to identify strategies to minimize or control such effects. The simulations are performed on the JURECA high-performance computing
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
career in science and/or industry A comprehensive training program, including soft skills, along with an flexible working hours and various opportunities to reconcile work and private life Flexible working
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Computer Science, Artificial Intelligence, Materials Science, or a related field Strong programming skills in Python, ideally with experience in image processing and deep learning using PyTorch or similar frameworks
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: Interest in biomass processing Enrolled in a Master`s program in Biotechnology, Chemistry, Chemical Engineering, or a related field Solid laboratory skills and hands-on experience with analytical instruments