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learning – and we are growing and seeking: Postdoc / PhD Student / Entrepreneurial Postdocs to join the Institute and its wider research community. We welcome applications across all areas of machine
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designing and running large-scale experiments, developing fine-tuning and reinforcement learning approaches, and studying how LLMs can generalize more reliably across tasks and reasoning domains. We
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for scientific dissemination and publication. Contest Procedure Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu
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on the applications of logical zonotopes in digital circuits and the model checking of discrete-space systems, with the goal of developing methodologies and tools that make verification scalable and reliable. Learn
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unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry
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an interdisciplinary team A hard-working, well-organized approach to your work, with genuine curiosity and a drive to keep learning Our offer 🔬State-of-the-Art Facilities: Benefit from access to infrastructure
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team A hard-working, well-organized approach to your work, with genuine curiosity and a drive to keep learning Our offer 🔬State-of-the-Art Facilities: Benefit from access to infrastructure that supports
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-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform, published in Nature Communications (https://www.nature.com
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unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning