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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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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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). Demonstrated experience in largescale AI development, including pretraining, finetuning, or scaling on substantial compute. A solid biological background; familiarity with biological data modalities
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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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closely related field (completed or near completion). Demonstrated experience in large-scale AI development, including pretraining, fine-tuning, or scaling on substantial compute. A solid biological
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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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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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, environmental sciences or a related field, obtained (or close to completion) at the time of appointment. Solid experience in remote sensing and satellite image processing (Sentinel-2, MODIS, Landsat