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, computational physics, statistical physics, non-equilibrium quantum many-body physics Ideally, experience with neural quantum states or other applications of machine learning methods in many-body physics
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
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, computer scientists and physicists to combine our extensive expertise in neuroscience, imaging and AI into viable solutions Publish your results in high-quality scientific articles National and international
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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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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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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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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the structure of energy materials on the atomic, molecular and mesoscopic scale with a focus on X-ray and neutron diffraction as well as PDF analysis, supported by...
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Your Job: We are looking for a researcher to develop and apply machine learning models for genomic data in our lab. We focus on sequence analysis, genomics, semantics, and cross-domain data integration. Role: Apply ML to barley genomic data, emphasizing gene regulation and genetic...
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Your Job: Please find here some examples of recent publications by our group: Tariq et al. (2024). In‐depth exploration of the genomic diversity in tea varieties based on a newly constructed pangenome of Camellia sinensis. The Plant Journal. 10.1111/tpj.16874 Ziegler et al. (2024). A full genome...