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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
to optimize object placing. Knowledge and experience in programming, robotics, machine learning methods is necessary. Profile 2 (RAT4Autism-speech): this task is part of a project on robotic assisted therapy
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. Knowledge of machine learning/deep learning (e.g., classification, feature learning, neural networks). Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good
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: DF03220 Area of knowledge: Internal Geodynamics Department: Earth and Environmental Sciences Research profile: Active Tectonics Position number: DF03221 Area of knowledge: Computer Languages and Systems
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incorporating adequate prior domain knowledge. Who are we looking for? We are looking for candidates with a PhD degree and demonstrable experience in the field of machine learning with a focus on representation
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into actionable insights, novel tools, and impactful research outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning
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VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is to study
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Scene Understanding Detection and Identification of Objects (SSUDIO) project. The purpose of this project is to develop scene understanding from 3D scans of ships by applying machine learning/computer
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, seeks a Post-Doctoral Associate or a Research Associate to join a lab focused on applied machine learning. The successful applicant will participate in research involving human computation, knowledge
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of visualisation, machine learning, and human-computer interaction under the joint supervision of both institutions. The position is shared by TU Wien and USTP and offers the opportunity to conduct research at both