562 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers
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driven, to allow researchers to focus on data intensive tasks. What we provide: An opportunity to broaden research experience in a collaborative environment. A team that believes in continuous learning and
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collaborative environment. A team that believes in continuous learning and cultivates an environment of collaboration. Collaboration with research labs and other shared resources, including Molecular Genomics
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collaborative environment. A team that believes in continuous learning and cultivates an environment of collaboration. Once trained, flexible schedule What you’ll do: Operate equipment in the cagewash facility
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machine learning techniques, will quantify groundwater recharge and groundwater resilience. Your responsibilities: Analyse the dynamics of hydrological connectivity of soil moisture using gridded soil
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uncertainty? What motivates our mice to solve this difficult problem? How does the brain support flexible behavior and strategy-switching? Learn more about the Dennis lab here What we provide: A collaborative
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outstanding researchers with a strong track record of advancing the state of the art in machine learning and potentially its application to biology and biomedicine, with the ambition to build an internationally
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f
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Senior Semantics Data Scientist (m/f/d) in the fields of Computer Science, Data Science, Physics, Ma
key role in the foundation of interoperable, machine-readable data platforms, powering AI analyses and automated workflows. You will collaborate with top scientists from all subject areas at BAM
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image
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machine learning methods are a plus. Qualifications: PhD in neuroscience, or related fields DeepLabCut or similar methods Demonstrated hands-on experience with 2-photon imaging techniques Experience