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Field
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, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
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within a multidisciplinary environment at the interface of biomaterials, cell therapy, pharmaceutical sciences and medical device development, contributing to the generation of proof-of-concept data
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the Italian Multiple Sclerosis Foundation (AISM/FISM), involving Dr. Raffaella Tonini (Neuromodulation of Cortical and Subcortical Circuits), Dr. Arash Ajoudani (Human-Robot Interfaces and Interaction), Dr
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interfaces. Plan controlled ablation studies and reproducible evaluations using scratch training across multiple seeds, exact train and validation metrics, parity and error analyses, gradient checks, and end
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna (IQOQIVIE) | Austria | about 1 month ago
mechanics, quantum communication and quantum networks, theory–experiment interfaces, quantum aspects of gravity and spacetime physics. Develop original research ideas and contribute to the scientific profile
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Responsibilities Theory Quantum transport modeling using NEGF; first-principles materials and interface calculations using DFT (VASP, Quantum ESPRESSO, or equivalent). Atomistic spin dynamics
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-solid interface. To connect materials to devices, you will prototype booster-bed reactors from mL to L scale by 3D printing and support the transfer of promising formulations toward scalable, solvent-free
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About the Role Applications are invited to join an ERC-funded research programme. The successful candidate will work at the interface of bioelectronics, mechanobiology, and disease modelling