22 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Forschungszentrum Jülich
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Your Profile: Basic qualifications: Completed Master’s degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience with neutron spectroscopy (e.g. INS, QENS, NSE
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, and characterization Develop gate implementations, benchmarking and algorithms Work on the interdisciplinary challenges in systems engineering Install and improve experimental setups and fabrication
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property prediction, modern artificial intelligence methods, molecular dynamics, and interdisciplinary research, this is your chance to be part of an exciting journey at the forefront of science and
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performance and degradation of electrolysis in dependence on different operating modes Your Profile: Completed Master’s degree in chemical engineering, computational engineering, computational mathematics, data
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Postdoc – Scientific lead of a joint research project in the field of Direct Air Capture and Storage
the subprojects, advance the scientific work and represent the project in exchanges with stakeholders from science, politics, industry and society. In these activities, you will be supported by a project
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, cutting edge research towards scalable quantum computing A research track record commensurate with our ambition Our Offer: We work on the very latest issues that impact our society and are offering you the
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the preparation of third-party funding proposals Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, material science, chemical engineering, computer Science, or related
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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proposals Support in establishing the institute Your Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical engineering, or related disciplines Fundamental knowledge in
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science, and applied plant research Example reading: Peleke, F. F., Zumkeller, S. M., Gültas, M., Schmitt, A., & Szymański, J. (2024). Deep learning the cis-regulatory code for gene expression in selected