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Your Job: Analysis and integration of diverse biological data from the field of plant sciences (next generation sequencing, large scale genomic, transcriptomic, proteomic, metabolomic and phenotypic
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. The current project deals with the use of machine learning / artificial intelligence and big data science in the field of synchrotron research. Development and application of machine learning / artificial
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engineering management to advance the integration and optimization of renewable energy technologies, from hydrogen and battery systems to broader renewable sources. The project`s goal is to facilitate open
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researchers and students Explore new funding opportunities Or, in other words, build up your own research field! Your Profile: Master degree and doctoral degree (PhD) in electrical engineering, physics
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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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`s degree with PhD in physics, chemistry, material science, chemical engineering, or related disciplines Extensive knowledge of X-ray diffraction, X-ray optics and X-ray instrumentation Experience in
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masters degree and subsequent Ph.D. degree in Computer Science, Mathematics, Physics Engineering or in a similar field. Alternatively an excellent masters degree with professional experience Very good
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the Institute of Physical Chemistry in Warsaw and Stuttgart University. Your Profile: You are an enthusiastic and motivated researcher You have a Masters degree and a PhD in physics, chemistry, engineering or
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-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meetings, conferences
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, computer science, data science, biophysics, or life science-related fields with a proven track record in bioinformatics, biophysics, data analysis, and simulation sciences Very good practical experience in molecular