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Field
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant
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below. A detailed CV, including a list of conference presentations, publications, and research collaborations A recent publication or dissertation chapter Contact information for at least three references
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 13 days ago
and Python. * “Courses not conferring an academic degree” must be related to the research fellowship’s activity type. “Courses not conferring an academic degree” are the courses referred to in paragraph
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for the complete list. The Front Range has developed into a high-tech hub with companies such as Woodward, Hewlett-Packard Enterprise, IBM, Intel, Keysight Technologies, Broadcomm, AMD, Ball Aerospace, Lockheed
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, preferably in brain slices * Experience in data analysis in Python or MATLAB* Track record of writing papers as evidenced by publications or submitted manuscripts in referred journals * Evidence of data
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* Excellent knowledge and experience in in vivo calcium imaging or electrophysiology * Experience in data analysis in Python or MATLAB * Track record of writing papers as evidenced by publications or submitted
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på nettsiden. Cookien slettes automatisk etter tidens utløp. Nedenfor kan du kan se en komplett liste over cookies. Slik avviser eller sletter du cookies Du kan til enhver tid avvis cookies på
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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/398927/research-fellow-ai-… Requirements
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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep