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mathematics, computational neuroscience, robotics, physics or a closely related field; Strong publication record in relevant venues; Solid programming skills in Python and a modern deep-learning framework
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of Particle Accelerator Physics ( LPAP ) is seeking a Postdoctoral Researcher to join our interdisciplinary team focused on developing a robust optics configuration and beam-beam collision scheme for
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expected to have: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as
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detect reliable traces of life (biosignatures) – whether through remote sensing or direct onsite measurements – requires significant innovation. These challenges demand close collaboration across physics
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metamaterials (acoustic crystals) . The candidate should have solid experience in the development of hydrogel acoustic metamaterials . We also welcome and can host candidates to apply for MSCA Postdoctoral
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Strong computational and analytical skills, including solid software engineering ability (e.g., OCaml, Rust, C/C++, Python, or other functional languages) Strong publication record (relative to your
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research. Proficiency in programming and statistics/data science. A genuine passion for music and a solid understanding of music. Fluent English and a collaborative team spirit. We offer World-Class
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on single monolith. The lab features state-of-the-art laser facilities and infrastructure for pioneer research. The Galatea Lab is located in the vibrant Neuchâtel’s campus of EPFL, part of
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background who are excited to advance the state of the art in generative AI. Prior experience with biological or biomedical data is not required. The position comes with dedicated access to the Swiss
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). Demonstrated experience in largescale AI development, including pretraining, finetuning, or scaling on substantial compute. A solid biological background; familiarity with biological data modalities