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Field
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the medium and long term. We are looking for a Machine Learning Research Engineer: The ideal candidate will bring deep expertise in state-of-the-art deep learning methods applied to computer vision, 3D
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apply machine learning algorithms with special attention to digital footprint reduction and data privacy. Functions to be developed: Develop methodologies and experiments to measure and optimize
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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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(Mandatory): Machine Learning Statistical Modeling Data Visualization Academic Writing Languages (Mandatory): English: IELTS 7.0 or higher LanguagesENGLISHLevelExcellent Research FieldComputer science
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structural bioinformatics, machine learning, and high-performance computing, we will build the first Human Proteome-Wide Frustration Atlas — a resource to better classify genetic Single Nucleotide Variants
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working on challenging theoretical and practical problems in Safe Machine Learning. Specifically, we are looking for a student to address the following research problem in their PhD thesis: 1
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physicsEducation LevelMaster Degree or equivalent Skills/Qualifications A Master’s Degree in Physics or similar. Specific Requirements Experience in big-data management and analysis, with solid machine learning
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Description Implement and validate machine learning models and statistical algorithms for data imputation, anomaly detection and uncertainty management in geospatial environments. Collaborate in the preparation
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23 Sep 2025 Job Information Organisation/Company Universitat de Barcelona Department Genetics, Microbiology and Statistics Research Field Biological sciences Chemistry Computer science Mathematics Other Researcher Profile First Stage Researcher (R1) Positions PhD...
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integrations, and collaborating with the team to refine detection strategies and performance metrics. Tasks to be performed Literature review on scam detection, blockchain security, and machine learning methods