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31.03.2025, Wissenschaftliches Personal Scientist with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass spectrometry Our team is looking
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for the operation of the instruments ANTARES and NECTAR as user instruments including all aspects such as planning, maintenance, further development, software development, sample environment, data analysis, etc
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hearing loss. However, current neural devices are large, complex, and invasive, and are therefore used by only a fraction of people who could benefit from them. The goal of NANeurO is to design new
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Biology or a closely related scientific discipline and brings a strong background in bioinformatics, chemoinformatics, machine learning, AI and data analysis of large biological datasets. Proficiency in
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us We are TUM’s unique Pathology AI lab developing new machine learning (ML) methods for automatically analyzing digital pathology data and related medical data. Such methods include the automatic
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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for the completion of a doctorate. The limitation complies to § 2, 1 WissZeitVG. Applications and further information We invite applications from highly motivated candidates with passion for and experience in plant
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single-cell data analysis and programming skills are a plus • Organizational skills and meticulous experimentation practices • Great enthusiasm for translational science with human tissues • Ability
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods