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, or theoretical materials science approaches. These methods should be applied to the study of molecules and solid-state materials relevant to photonics, (opto)electronics, energy conversion and storage, catalysis
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The PhD position is part of an interdisciplinary research project at the intersection of robotics and biomedical engineering, conducted in close collaboration with neurosurgeons from the University
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collaborate with consortium partners from various scientific disciplines, supervise Bachelor’s, Master’s, and PhD students, contribute to scientific publications, and present your research findings
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the project will be the assessment of the model results with atmospheric measurements, as well the use of statistical inference methods for hypothesis testing. Finally the improved model will be used to provide
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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research
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experience with building web applications, form builders, and automation tools (e.g. AEM, Make.com, Google Developer Console, Typeform, Inxmail, Mailchimp, Zapier, Wix Velo) Proficiency in JavaScript and
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relations. The ideal candidate will bring a strong interest in the role of data and technology in shaping environmental governance. We are looking for someone who: Holds a PhD (or will have completed one
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and presentations; and providing technical support and troubleshooting in T cell culture, molecular cloning, and viral production workflows. Profile PhD in bioengineering or related area. Strong
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responsible for deploying, analyzing, and maintaining the measurements as well as publishing scientific results. They will oversee MS, PhD, and postdoctoral researchers and are expected to apply for external
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. Profile Education & Experience A PhD in a relevant field with experience in industry is highly preferred; (outstanding younger professionals will also be considered and evaluated based on profile.) 2-5