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Field
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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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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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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
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looking for a professional to support research projects in the area of Zero-Knowledge Proofs (ZKPs), especially in its implementation in Machine Learning (ML) models. Main tasks: Literature review on ZKPs
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the simulation of mechanotransport in 169 patient-specific disc models using Abaqus, with the aim of extracting biomechanical data and mRNA expression profiles. Subsequently, a machine learning analysis will be
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The Center for Machine Learning Research (CMLR) is a newly founded interdisciplinary research center at Peking University. Its goal is to advance machine learning-related research across a wide
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announcing a selection process for an indefinite employment contract within the framework of a Line of Research Research Line: Machine learning applications https://www.upv.es/entidades/SRH/conypi
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Requirements Educational Requirements: Artificial Intelligence. Deep Learning. Computer vision. Reasoning methods based on first-order logic. Design of complex computer systems. Professional Experience: In LLM
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techniques, machine learning, and Large Language Models (LLMs). Knowledge in Human-Computer Interaction (HCI) and Usability Engineering. High level of English (minimum B2). LanguagesENGLISHLevelExcellent
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laboratory automation. Experience in laboratory process automation, algorithm development and machine learning and artificial intelligence (AI) applications. Experience in laboratories with quality management