32 machine-learning-"https:"-"https:"-"https:"-"https:"-"Imperial-College-London" Postdoctoral positions in Netherlands
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researchers across the ACT to identify emerging theoretical challenges motivated by astrodynamics, optimisation, control, scientific machine learning, mission design and autonomous systems, translating
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collaboration with the industrial partner PhotonFirst and aims to quantify model parameters and their variations as such providing data for the Physic-Informed Machine Learning model. Your profile The
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innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovations such as AI, machine learning, quantum computing, edge computing, metamaterials and photonics. Many of the
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and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
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benchmark their added value against simpler machine-learning baselines; • train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability
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criteria: A PhD (obtained, or nearly completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development
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foundational AI and machine learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that
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close to completion of a PhD in a relevant field such as data science, AI, computer science, remote sensing, machine learning, electronics, embedded systems, aerospace engineering, Earth system
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
part of the EU project LLMs4EU - Large Language Models for the European Union. https://www.llms4eu.eu/ Apply now Hi! Are you my new colleague? Henk Pol Hi! Are you my new colleague? Hannie Lensink Hi
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ongoing space science research activities at the various ESA sites, and more details about the fellowships, please visit our website: https://www.cosmos.esa.int/web/space-science-faculty