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Field
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submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded. Applicant should have a genuine interest in AI the learning
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predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real
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to develop a holistic e-motor cooling technology, maximising heat transfer through direct-contact, spray cooling. The Team is looking to appoint one Postdoctoral Research Associate on Machine-Learning Assisted
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extending an offer. - PhD in a cognitive science?related field (psychology, linguistics, neuroscience, or related), conferred by start date. - Experience with MEG/fMRI - Strong programming and statistics
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engineering. Required Qualifications: A successful applicant must have a PhD in Geotechnical Engineering, or a related field with a focus on one or more of the following: Centrifuge experimental testing (design
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no.: 4644 Explore and teach at the University of Vienna, where over 7,500 academic minds have found a unique blend of freedom and support. Join us if you're driven by a passion for top-notch international
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with SCION in New Zealand bringing together researchers in robotic perception, machine learning, remote sensing and silviculture to transform and upscale forest phenotyping operations. The role will be
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essential. Most importantly, the candidate should be curiosity driven and willing to constantly learn new things! Qualification: PhD degree in Computer Science, Informatics, or Software Engineering obtained
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models and machine learning techniques for kinetic equations arising from plasma and neutron transport. The position will be based at Virginia Tech’s campus in Blacksburg, VA. The postdoc will have a
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
. Bert de Groot) is inviting applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations