161 machine-learning-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" Postdoctoral positions in United Kingdom
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statistical or machine learning methods to complex datasets. Evidence of involvement in grant writing or development of independent research ideas. A commitment to teaching the next generation of researchers
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statistical or machine learning methods to complex datasets. Evidence of involvement in grant writing or development of independent research ideas. A commitment to teaching the next generation of researchers
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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Charter, Stonewall Diversity Champion, and Disability Confident Employer. We are also proud signatories of the Armed Forces Covenant. Further Information For informal enquiries, contact Dr Rupam Das
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volcanic arc using state-of-the-art deep learning techniques and modern seismological processing workflows, reporting to Dr Sacha Lapins. This role offers an exciting opportunity to process multi-year
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electronics and software. The post-holder will also have the opportunity to teach. The post-holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion in physics
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following: Quantum chemistry (preferably of excited states) Multiscale simulations/environmental modelling Excited state dynamics Data Science/Machine learning in chemistry/Cheminformatics Molecular dynamics
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will have the opportunity to teach. Applicants should hold a PhD/DPhil, (or close to completion) in atmospheric physics or related fields. Experience in atmospheric physics and aatmospheric remote
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.03.2029 Reference no.: 3590 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom
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About the role We wish to appoint an experienced post doctoral researcher to work on an exciting new NIHR-funded study, led by Leeds Beckett University aiming to explore and improve learning