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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 4 hours ago
biomarkers and patient cohorts Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc
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at the Laboratory for Biometry and Evolutionary Biology (LBBE) in Lyon, France (https://lbbe.univ-lyon1.fr/en ). The LBBE comprises approximately 200 people; the research conducted there is based on three pillars: (i
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biological data. Analyzing and visualizing collected data using appropriate statistical methods and relevant software. Conducting literature reviews and completing doctoral-level coursework. Presenting
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authenticity of visual media and provide understandable evidence for model decisions. The candidate will investigate how general-purpose pretrained visual and multimodal representations can be adapted
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and visual monitoring during deployment, working in coordination with the RT3D development led by E-Sailor 15. The research includes conducting laboratory and in-orbit experiments using data from
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applied research in the domains of food and biobased materials. Where to apply Website https://www.academictransfer.com/en/jobs/364061/machine-learningai-researcher-a… Requirements Specific Requirements You
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, water treatment technologies, or environmental remediation techniques, physicochemical materials characterization data analysis and visualization skills Rules governing PhD students are set out in
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, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information
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programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software