10 machine-learning-"https:" "https:" "https:" "https:" "https:" PhD positions at University of Copenhagen
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-supervised machine learning methods for biological data where reliable labels are scarce, expensive, or impossible to obtain. The aim is to train models on synthetic data generated by biophysical
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a PhD student Our group and research You will join a dedicated research team focused on machine learning applications in crystallographic method development and applied structural science on
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Pioneer Centre for SMARTbiomed will leverage large-scale, multimodal biomedical data combined with focussed innovation in statistical and computational methods including machine learning to advance our
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& Retrieval Lab , one of the research labs within the Machine Learning Section at DIKU. The Machine Learning Section is an internationally recognised research environment with a strong track record of
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systems. This includes the use of Machine Learning (ML) and Artificial Intelligence (AI) methods. Project description The PhD project will be focused on developing, assessing, and comparing traditional
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, causal inference with machine learning, and deep learning for various health-related domains. The Global Pathogen Analysis Platform (GPAP) is a new international initiative to strengthen global pandemic
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, machine-learning and dynamics. Collaboration with members of other research groups at UCPH and abroad is required. Who are we looking for? We are looking for candidates within the field(s) of chemistry
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be studied rigorously. Applicants may have a background in natural language processing, computational linguistics, computer science, machine learning, artificial intelligence, data science, digital
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methods for image-based characterisation of complex structures. Experience with machine learning, image analysis, scientific computing, or data science is advantageous, but the project focuses on
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-economic assessment. Qualifications in spatial analysis and GIS. Experience in quantitative, predictive or stochastic modelling, data analysis, and machine learning. Experience with Python and