57 parallel-computing-numerical-methods-"Simons-Foundation" PhD positions at Forschungszentrum Jülich in Germany
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of the possible influence of storage-related factors on the LOHC purity Method development and application of suitable analytics (e.g. GC(-MS), NMR, etc.) for the qualitative and quantitative determination of by
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electron microscopy at the Ernst-Ruska-Zentrum, the Julich Supercomputing Centre, the Neutron-SimLab or various physicochemical characterization methods and workshops Comprehensive training programs and
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. Willingness to take on responsibility for the laboratory and equipment. A high level of teamwork and enjoyment of cooperative collaboration. Furthermore, you can quickly familiarize yourself with new methods
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-IEK3-VSA/FINE) . Furthermore, you will use and extend existing lightweight Large Language Models (LLMs) to assess future technological characteristics. Your tasks in detail: Using/Extending methods
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conditions for you to complete your doctoral degree: Excellent scientific and technical infrastructure for conducting high-quality research Working with globally unique analytical measurement methods
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computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Your Job: Operando investigations of the dimethyl ether/CO2 system for the hydrogen storage cycle Development of appropriate measurement set-ups with focus on X-ray methods X-ray investigations
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reflectivity measurements with modern analytical methods Electrochemical experiments with LOHC molecules Publication and presentation of results in high-ranking and recognized journals as well as at national and
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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling