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, air quality, and health. We seek a PhD or Postdoc to work on either of the two topics: Autonomous reaction discovery: combining quantum chemistry, machine learning, and automation to chart oxidation
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University of Amsterdam that brings together automation, flow technology, photophysics, and spectroscopy. The project aims at establishing a self-driving platform for photohemical research. You will first
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Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating catalytic reaction mechanisms, with a focus
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spectral based sensing, including Ultrasound and Hyperspectral Imaging (HSI), Artificial Intelligence (AI) and Tiny Machine Learning (TinyML). Duties As a Postdoctoral researcher you are expected to perform
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with the team to conduct a small-scale experimental pilot of the study. The postdoc will be housed inside the Department of Computer Science & Engineering, in the GroupLens lab and collaborate with
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical
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technology and superb education system, Finland is an exotic and safe country to work in. Please visit the Life in Finland section on our website to learn more. How to apply? Submit your application by using
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, troubleshoot and improve the setup and ensuing workflows. You have a PhD degree in chemical engineering, physical chemistry, materials science, or a closely related field. You have hands-on experience with
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checks with advanced machine learning architectures, specifically Long Short-Term Memory (LSTM) networks and Variational Autoencoders (VAEs). The researcher will use historical QC archives dating back
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initiation latency, movement speed, gait characteristics, postural control, motor variability, and other behavioural descriptors. ESSENTIAL REQUIREMENT PhD in machine learning, artificial intelligence