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, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux
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. For more information please contact Prof. dr. Özlem Cizer, mail: [email protected] . Website for additional job details https://www.kuleuven.be/personeel/jobsite/jobs/60744020?hl=en Work Location(s
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working conditions at KU Leuven can be found at https://www.kuleuven.be/personeel/jobsite/en/academic-staff/academic-st… . For more information please contact Prof. Dr. Pieter Vermeulen (pieter.vermeulen
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conditions at KU Leuven can be found at https://www.kuleuven.be/personeel/jobsite/en/academic-staff/academic-st… ; For more information please contact Prof. Dr. Núria Codina Solà ([email protected]
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this additional qualification.-You have strong skills in statistical, econometric and quantitative data analysis and have experience with statistical software packages; furthermore, you are keen to develop
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in plant-microbe interactions, microbiome analysis, (comparative) genomics, and sustainable agriculture. enjoys combining laboratory research with computational data analysis. is eager to collaborate
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range of topics in numerical analysis and applied mathematics, including: Approximation Theory & Numerical Integration Mathematics for Data Science & AI Combinatorial Optimization Stochastics
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data collection and analysis, including neuroimaging or behavioral data•Languages: Dutch is strongly preferred, as the project involves extensive interaction with Dutch-speaking participants; English
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research. You have a good knowledge of and/or a strong interest in biomechanics and human motion analysis. Knowledge of or a strong interest in collecting experimental data (e.g., structural vibrations and