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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 23 days ago
. Through advanced Machine Learning and Deep Learning technologies, it seeks to automate agronomic processes, optimize resource use, and maximize production in a sustainable way. Main duties Design
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ACP’s captured instances on conventional yellow sticky traps. MANIFESTO team will explore advanced and modern Deep Learning (DL) architectures to develop an accurate model for detection and classification
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focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will
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III is a skilled technologist with a deep understanding of software development and systems administration processes. An ideal candidate is an individual who is either a strong developer who is
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: ED431F 2025/32 Álvaro Leitao Rodríguez Job title: ED431F 2025/32 Álvaro Leitao Rodríguez Research line / Scientific-technical services: Deep Learning for numerical solutions Grant/funding period: START: 18
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Apply now Job no:502178 Work type:Part time Location:Hobart Categories:Teaching Intensive Shape future health leaders through innovative postgraduate teaching Deliver high-quality online learning
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role in advising student government and organizations, coordinating leadership initiatives, and fostering experiential learning opportunities that reflect and engage the surrounding diverse community
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algorithm. Basic principles of mathematical optimization. Fundamentals of machine learning and deep learning. It will be assessed: Have completed or are currently completing a degree in Data Science and