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, and system integration Providing general support for the lab Job Requirements: Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in machine learning
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, modelling, and linking process-based understanding with including citizen science activities and management recommendations. Keywords: freshwater, alge, cyanobacteria, modelling, adaptive machine learning
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application of advanced machine learning techniques, including deep learning approaches, aimed at identifying complex patterns of host immune responses to vaccination. The research activities will also include
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to collaborate with other research groups. The time to apply and improve your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical
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analytical findings clearly Experience with advanced forecasting models (e.g., machine learning or deep learning approaches for time series) Familiarity with working on public safety or social science datasets
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of innovative multicriteria models for the management, integration, and enhancement of geological and geophysical data, using geostatistical, geomatic, and, where appropriate, machine learning techniques
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., PyTorch, TensorFlow, HuggingFace). Model Development and Delivery Support Perform data cleaning, exploratory data analysis (EDA), and feature engineering. Train, evaluate, and compare machine learning
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researchers to translate models into usable tools and optimize simulation inputs. User Workflows & Interfaces: Develop intuitive interfaces (CLI/APIs) and streamlined workflows for simulations. Machine Learning
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and image analysis within the project, responsible for designing and iterating on machine learning architectures, managing training pipelines and datasets, and optimizing models for deployment across
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 4 days ago
signal and image processing, machine learning, deep learning, robotics, and 3D design, with proficiency in programming languages such as JavaScript, R, Python, Matlab, or SQL. • Proven research experience