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to construct a catalogue of metagenome-assembled genomes (MAGs) for the HS rat population, from very deep shotgun and long read sequencing data. The ideal candidate will have proven experience constructing a MAG
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based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation
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infrastructure (e.g. Observatorio del Roque de los Muchachos) Hands-on training in cutting-edge techniques, from detector R&D to advanced data analysis and machine learning. Attendance to international
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AI4Science project, specifically focusing on the intersection of advanced machine learning and sustainable catalysis discovery. The primary incentive of this Postdoctoral Fellowship is the chance to contribute
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learn about carcinogenic mutagens (https://www.biorxiv.org/content/10.1101/2023.12.06.570467v1 ), while studying the spatial genetic heterogeneity of tumors tells us about the tumor mode of growth (https
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infrastructures. Opportunity to gain experience learning first-hand. Personal growth, innovation, and learning every day. Sending applications implies the candidate’s consent to IFAE to treat their provided
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
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implementation of data pipelines. Programming in computational neuroscience: Python, MatLab. Specific Requirements Knowledge: Processing of neural signals. Network science. Statistical learning. Algorithm design
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to gain experience learning first-hand. Personal growth, innovation, and learning every day. The selected candidate is expected to join the IFAE as soon as possible. IFAE is an equal opportunity employer
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Infrastructure? No Offer Description Experimental postdoc. Develop experimental approaches to studying learning in individual mammalian cells, following two potential paths. First, by following up the studies