37 machine-learning-"https:"-"https:"-"https:" "Computer Vision Center" Postdoctoral research jobs in Netherlands
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control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line on the theory
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submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace
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preferred candidate; there is budget for support in technology development. You will work closely with a PhD researcher at the German partner who focuses on the underlying machine learning models, and
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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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computer science or artificial intelligence; demonstrable machine learning skills; curiosity about societal issues and how AI can be employed for the benefit of the public; strong teamwork skills, as
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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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intelligence; demonstrable machine learning skills; curiosity about societal issues and how AI can be employed for the benefit of the public; strong teamwork skills, as collaboration with other researchers
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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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characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction