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to learning new skills or exploring new topics, and you have good communication skills. Your experience and profile Completed or soon-to-be completed MSc in the biological sciences or different fields in
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Vacancies PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems Key takeaways The vacancy is focused on calibration in deep learning . Deep Neural Networks (DNNs
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reasoning to define and analyze system components and their interactions. Merging machine learning with symbolic AI to enhance system (performance) monitoring. Advancing adaptive surrogate modeling
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skills in python; solid knowledge of machine learning (including deep learning) and good background in formal linguistics; high proficiency in academic English; ability to work both as an independent
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surrogate models. Applying symbolic reasoning to define and analyze system components and their interactions. Merging machine learning with symbolic AI to enhance system (performance) monitoring. Advancing
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professionals in their work, facilitating the analysis of medical images and other data, for more rapid, comprehensive and accurate diagnosis, guidance of surgeries and more. Today, deep learning methods
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people's daily lives. Job requirements This work is at the intersection of between moral philosophy, human-computer interaction and industrial design. Candidates should have a master’s degree in a related
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of computational neuroimaging, where you'll experiment with the latest advancements in computer graphics, leveraging techniques from the filmmaking industry to create visually compelling representations of complex
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present research findings in top-tier conferences (e.g., Machine Learning, JMLR) and journals (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD). Collaborate with a international team of researchers and
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Research Infrastructure? No Offer Description Are you interested in a project at the interface between physics, machine learning and neuromorphic computing? Do you thrive for both fundamental and societal