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of an image analysis algorithm for particle tracking and speed quantification. Requirements for candidates: Essential: BSc and MSc in biochemistry, biology, biophysics, biotechnology, biomedical engineering
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positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics
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oocyte proteostasis. Join us in sunny Barcelona and help us discover how oocyte dormancy and longevity are regulated. We combine state-of-the-art imaging, tissue culture, biochemistry, and proteomic
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-resolved imaging of phage infection in biofilms. We study human viruses from the families Picornaviridae and Flaviviridae, as well as tailed phages of Staphylococcus aureus and Pseudomonas aeruginosa . Our
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the durability of materials and improve recycling processes. Be part of this change and explore cutting-edge methods in chemical, mechanical, and plasma processing of metal ores for a truly circular economy
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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sometimes struggle to effectively sustain patients' learning throughout their rehabilitation journey and may not adapt to the evolution of their abilities. Rehabilitation is a complex process that requires
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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, crop production and plant breeding. A core responsibility will be the rigorous processing, analysis, and interpretation of large and complex datasets and, in collaboration with the FEM research community