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approaches and will integrate novel hardware (including electrode arrays, microdevices, analytical systems) into automated robotic pipelines You will also apply machine learning-based analyses to imaging and
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PhD degree (or equivalent). Specifically, a PhD in Energy Engineering, Mechanical Engineering, Chemical Engineering, Environmental Engineering, or a related field. We seek candidates with strong
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language models that can democratize access to reliable health information. Applicants will collaborate closely with PI Emma Pierson as well as other PhD students and postdocs in the lab. Union: https
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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and service. Click here to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information We are seeking a candidate with expertise in targeted and
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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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nanotechnology-based approaches to modulate the immune system and create enhanced translational immunotherapy strategies in cancer. To be successful you will need: Completion of PhD (within last 5 years
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The ideal candidate will have a background in cell biology, lipidomics, evolutionary genomics, or bioinformatics. More importantly, we are seeking an individual with a strong interest in learning and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Challenge: How do we enable continuous robot learning in shared
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for applicants who have obtained their PhD within the past 4 years, have a good publication record, and have proven their expertise on computational electrodynamics and the theory of light–matter interactions