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features. No cookies to display. Reject Save My Preferences Accept Skip to content Postdoc in Bioinformatics and Machine Learning Chalmers Share: Facebook Twitter LinkedIn Email Application deadline
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Postdoctoral position in machine learning for the development of novel semiconductor materials Login and apply Lund University Lund University was founded in 1666 and is repeatedly ranked among the
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Information Technology Are you interested in working with machine learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron
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Information Technology Are you interested in working with probabilistic machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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formulation, molecular-level characterization, and machine learning to develop predictive models linking chemical descriptors to adhesive properties. The work includes the development of a structured
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evolving kinetic regimes. The work will combine experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process
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interpretable machine-/deep-learning models. Publish research results in high-quality international journals (at least two peer-reviewed papers are expected). Eligibility Appointment to a postdoctoral
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. Researchers with prior experience using molecular dynamics simulations and machine learning methods to study the structure and electrochemistry of disordered materials are also encouraged to apply.The project
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mathematics, financial mathematics, mathematical modeling, analysis, machine learning, optimization, mathematical foundations of artificial intelligence, mathematical ecology and mathematical statistics. UmeÃ