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position within a Research Infrastructure? No Offer Description The project aims at pushing the boundaries of machine learning and reinforcement learning with applications to healthcare data. This project
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experience in analysis of large microbial genomic datasets and design and validation of machine learning models. Metagenomics experience is an advantage. You have proficiency with programming languages e.g
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within a Research Infrastructure? No Offer Description In recent years, many new directions in graph machine learning have been investigated. A major problem for all graph machine learning approaches
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experience in analysis of large microbial genomic datasets and design and validation of machine learning models. Metagenomics experience is an advantage. You have proficiency with programming languages e.g
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Research Infrastructure? No Offer Description Leiden University is seeking an enthusiastic and well-qualified postdoctoral researcher in machine learning, in particular classification. The primary objective
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: Postdoctoral Researcher in Machine Learning (1.5 years, 1.0 FTE), for the Project
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Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable
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Post-doc in Machine Learning for Image Processing on Embedded Devices (V24.0155) « Back to the overview Job description We are looking to fill a two-year postdoctoral researcher position as a part
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project through DigiAgro3 2024. The main goal of the post-doc project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for health
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project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for health state of the crop and deploying those models on a variety of low