44 condition-monitoring-machine-learning Postdoctoral positions at University of Groningen
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Postdoc in Machine Learning for Oligopeptide Design (1.0 FTE) (V24.0584) « Back to the overview Job description The advent of modern machine learning (ML) methodology is accelerating scientific
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Organisation Job description The advent of modern machine learning (ML) methodology is accelerating scientific progress by streamlining research across disciplines. In chemistry, it enables
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML (Random Forest, SVM, Fully Connected Neural Networks) will be essential
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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researchers in the team. No knowledge of Dutch is required. However, the University of Groningen offers language classes to employees who would like to learn the Dutch language. Organisation Conditions of
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bioinformatics and proteomics approaches. You will analyze bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI
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conditions and creative practices of music artists around the world? How can we better understand the transformative impact of “platformization” through the lens of music? With case studies in the Netherlands
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mechanisms turn into detrimental effects on mental and cardiometabolic health. This will enable the development of novel monitoring and intervention strategies to track and reduce daily-life stress and its