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on economic systems, the economics of AI), behavioural economics, game theory, microeconomics, time series analysis, big data, and machine learning. Proficiency in statistical software such as R and proficiency
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 11 days ago
(videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage Selection process Website for additional job details https
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, computational biology, statistics or a closely related field. You have strong programming skills, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision
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predictions of river flow direction and connectivity. You will lead the development of scalable and reproducible data and machine-learning pipelines, upgrade the GRIT global hydrography, and design and evaluate
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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, trajectory or cell-fate modelling, machine learning, or perturbation-data analysis is considered an advantage. Experience in CNS development, stem cell biology, brain tumors, or organoid research, as
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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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assistants, and large language models. Areas of interest for possible collaborations include but are not limited to: topological data analysis and topological machine learning; AI-assisted theorem proving
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Detection - Aalborg University's Research Portal , an NNF: Ascending Data Science Investigator project (“LM2-SEC: Linguistically Motivated Language Model Security”) https://vbn.aau.dk/en/projects