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chemistry and study the physicochemical properties of peptides loaded into the materials. Build surrogate models and apply machine learning techniques to extract design rules and rapidly screen thousands
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attitude combined with a hands-on mentality and interest in application-oriented research in collaboration with the industry Analytical skills, initiative and creativity are valuable properties Ability
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Computational Biology, Bioinformatics, Computer Science, AI/Machine Learning, Physics, Mathematics, Bioengineering, Structural Biology, Biophysics, or a related field Strong quantitative, analytical
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methods (such as handwritten text recognition, natural language processing, statistics, etc) or willing to acquire and develop your skills in these methods Strong analytical and academic writing skills
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gracefully with time. Additionally, the potential of renewable energy sources to further extend the network lifetime will be investigated. The developed methods will be analytically characterized, optimized
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31.07.2026, Academic staff We are seeking a researcher in Scientific Machine Learning (SciML) to join the project "Data science at scale" at the Technical University of Munich, Germany. Ideal
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Computational Biology, Bioinformatics, Computer Science, AI/Machine Learning, Physics, Mathematics, Bioengineering, Structural Biology, Biophysics, or a related field Strong quantitative, analytical
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customized freezing and thawing reactor systems. Measure and interpret liquid and gas geochemical data using a variety of analytical instrumentation (e.g., Gas analyzers, HPIC, ICP-OES, UVVis-Spectroscopy
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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questions. The candidate should be organized, curious, analytically rigorous and comfortable learning unfamiliar methods. Good written and spoken English is essential. Research motivation: a clear interest in