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new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records
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22 Dec 2025 Job Information Organisation/Company Universitat de les Illes Balears Research Field Physics Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Country Spain
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large datasets and assist in developing cloud and local data storage frameworks High-Performance Computing • Lead the assembly, configuration, and maintenance of a high-performance computing (HPC) system
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advanced network analysis combined with Large Language Models (LLMs) to develop robust predictive models for MS progression. General description of the DDLS program Data-driven life sciences (DDLS) use data
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growth. We are particularly interested in deciphering the role of the large intrinsically disordered loops using structural and biophysical approaches. The project may involve a combination of protein
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) that provides large-scale, integrated and sustainable data services to the social sciences research community to conduct high-quality research and contribute to solutions to major societal challenges. CESSDA has
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing
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the end-to-end discovery process, including data preparation, statistical analysis, and methods for extracting meaningful insights from large datasets. Core machine learning techniques such as decision tree
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of points within a short time, yielding large amounts of data that need to be visualized and analysed instantaneously during a beam time. Additionally, the varied possibilities at the beamline generate