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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
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-data interaction, and machine learning, making it a natural home for advancing data interaction in hybrid care. This specific position is in close collaboration with Catharina Hospital Eindhoven and
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information on the project see: https://www.net-rol.eu/ Note: Review of applications starts June 1, 2026 and continues until the position is filled. Duties and Responsibilities Using state-of-the-art data
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. Qualifications Applicants at Postdoctoral Researcher level should hold a PhD in AI enabled learning, educational technology, information systems, computer supported learning, social entrepreneurship, innovation
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of the clinical context where academic research is performed and data are collected. Proficiency in data science, large multidimensional and combined analysis of different data sets, e.g. with machine learning
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quality and evidence grounding Calibration, uncertainty, and appropriate deferral Trace auditability and clinician-in-the-loop evaluation Profile Must Have PhD in Computer Science, Machine Learning, Medical
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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
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and applied research, spanning a large variety of research areas including Automatic Control, Automation, Mechatronics, Biomedical Engineering, Communication Systems and Information Theory, Signal
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applications for a fully funded postdoctoral associate position. This position, available immediately, focuses on developing machine learning and deep learning methods for analyzing large-scale single-cell DNA
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spatial omics data and to uncover the regulatory mechanisms driving cellular differentiation during vertebrate embryonic development. In this project, you will develop quantitative machine learning models