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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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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
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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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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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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 20 days ago
the computational work. Researchers in the group have experience with crystal plasticity using finite element and fast Fourier transform methods, fatigue indicator parameters, process modeling and machine learning
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animal welfare, safety, security and compliance. Department Specific Qualifications Education: PhD or MD degree PhD in Chemistry, Biomedical Engineering, Materials Science or related field with emphasis in
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for support in technology development. You will work closely with a PhD researcher at the German partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across
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Cognitive Science, Medical Informatics, or a comparable quantitative discipline Proven hands-on experience working with LLMs, foundation models, multimodal AI systems, or related machine-learning technologies
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the Computing & Engineering Department. The group is very dynamic, ambitious, well networked and delivers state-of-the-art research in a range of machine learning and data science topics, publishing research