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Field
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 3 hours ago
neuroscience Strong analytical and critical thinking skills A willingness to learn new techniques, including advanced experimental methods and computer programming Excellent verbal and written communication
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The Fraunhofer Institute for Applied Optics and Precision Engineering IOF in Jena conducts applied research in the field of photonics and develops innovative optical systems to control light - from
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pursuing a Bachelors or Masters degree in engineering, physics, mathematics or computer sciences and related discipline and/or an unaffiliated recent graduate with a Bachelor/Master degree from
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partners regarding the horticultural experi-ments (Osnabrück University of Applied Sciences and the Institute of Plant Genetics of the LUH) and the optical superimposition of imaging with a processing laser
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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architectures and orchestration and documentation experiments Analysis and preprocessing of different data types (time series, graphs, images, matrices) Processing and visualization of huge amounts of data
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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Electrical Engineering / Mechatronics / Automation Engineering / Computer Science or related fields Interest in battery technologies and electromobility Basic knowledge of electrochemistry or willingness