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) methods, • with knowledge of statistics and ideally machine learning techniques (e.g., Natural Language Processing) and • excellent organizational and oral/written communications skills (command
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, • ideally with a solid knowledge of empirical research methods (quantitative or experimental), • with a passion for collecting, processing and analyzing primary data using novel machine learning methods (e.g
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Leibniz Institute for Natural Product Research and Infection Biology | Jena, Th ringen | Germany | 6 days ago
) in Automated Processing of Bioimages for three years initially with the prospect of prolongation. Research areas: automated image processing, machine learning, artificial intelligence, etc. In
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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with the design, and execution of laboratory experiments on stone tools, as well as communication and exchange with the scientific computing team members. The ideal candidate will have a PhD and a creative and
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Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) | Jena, Th ringen | Germany | 6 days ago
the prospect of prolongation. Research areas: automated image processing, classical approaches, machine learning, deep learning, etc. In the research group Applied Systems Biology , a position for a postdoctoral
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Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) | Jena, Th ringen | Germany | 6 days ago
learning as well as the computer simulation of mathematical models using advanced modeling approaches. We are seeking highly motivated candidates that are interested to work on mathematical modeling and
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Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) | Jena, Th ringen | Germany | 6 days ago
processing, machine learning, artificial intelligence, etc. In the research group Applied Systems Biology a position for a doctoral researcher becomes available. The position is associated with aspects
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degree and PhD in physics, materials science or a related discipline experience with the design and operation of a synchrotron beamline experience with high-energy X-ray diffraction for engineering
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and interests - may lead to scientific collaborations Your Profile: Master`s degree in computer science, software engineering, physics or in a related discipline PhD or/and publications would be a plus