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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and
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. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group: Atomistic & Molecular Modelling for Catalysis Group Requirements Specific Requirements PhD in Chemistry
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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Infrastructure? No Offer Description Research line: Learning in single cells through dynamical internal representations. Job description: Develop theory, models and algorithms for identifying molecular encodings
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Experience in machine learning techniques Postdoc 3: Experience in the computation and analysis of hydrodynamic cosmological simulations of galaxy formation and evolution Experience in simulations
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, computer scientists, and engineers. -Mentor and supervise master and PhD students. -Design, analyze experimental work, contributing to exploitation and dissemination of the project in the form of patents and
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transcriptomics data analysis. Experience in quantitative image analysis, computer vision, or digital pathology. A strong background in cancer biology or immunology. Experience with machine learning, deep learning
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Fellowships are expected to open in November 2025! Pay attention if… ✔️ You are passionate about researching neurodegenerative diseases and innovative treatment strategies ✔️ You hold a PhD ✔️ You have defended
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Biology, Physiology and Immunology at the Faculty of Biology. Learn more about our research: https://www.ciberned.es/grupos/grupo-de-investigacion?id=28735 https://www.neurociencies.ub.edu/research-group
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sustainability of biomaterial manufacturing through safe design methods, machine learning, and predictive life cycle assessment as well as developing machine learning and hybrid digital modeling methods, combining