176 processor-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" Fellowship positions
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computer vision, including experience with semantic segmentation, multiple object detection, classification, or vegetation/weed identification using frameworks such as PyTorch or TensorFlow. Proven ability
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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. Experience working with medical images. Very good computer programming skills and physics background is essential. Desired Qualifications* Nuclear medicine imaging/dosimetry experience. Experience in image
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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of relevant training and experience proven Computer Literacy in (Excel, Clampex/Clampfit, GraphPad Prism) proven research publication in relevant field strong track record of peer-reviewed publications in
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. Broad interests including some of the following: Higher category theory, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export
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) Computer, Information, and Data Sciences (17 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (3 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and informed
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-generated protein designs only become impactful contributions if validated experimentally. We aim to build a fully automated platform for high-throughput synthesis of protein designs and measurement
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knowledge within advanced modelling/analysis methodology Applicants must have hands-on experience working with model lipid membranes Applicants must be proficient with computer programing Fluent oral and
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: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (12 ) Environmental and Marine Sciences (6 ) Life Health and Medical Sciences