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, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database development teams and facilitate
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well as validation of the platform in clinical contexts, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database
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across all areas in Computer Science, including Algorithms and theory Bioinformatics and digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and
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addresses the need for data-driven and hybrid modeling approaches that combine physics-based knowledge with artificial intelligence (AI) algorithms for accurate, interpretable, and robust health state
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Bioinformatics and
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new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is
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particular focus on developing fundamental AI algorithms and methods that can be used in systems for real-time creative and artistic settings. The candidate will be part of a team that creates algorithms
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, which were developed for significantly different contexts and applications than current AI-driven business use cases. Postdoctoral Fellows at D^3 will engage in research projects spanning Business Model
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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TEC. 2. OBJECTIVES: The NeuroEngineering Laboratory at C-BER has extensive experience in biomedical image analysis from different clinical contexts, ranging from the analysis of motor seizures in