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of excellence (https://ellis.eu/members ). Significant high-performance computing resources (e.g. LUMI supercomputer, https://lumi-supercomputer.eu ) are at the disposal of our researchers. What we offer
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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
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, reliability, and consistent behavior. Learning-based controllers can achieve high performance in complex and uncertain environments, yet ensuring predictable operation under distribution shifts, sensor noise
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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required; familiarity with pyrolysis or other high-temperature treatments is considered an asset. Demonstrated ability to perform experimental work at lab scale, with experience in pilot-scale setups
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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Knowledge on numerical linear algebra, numerical methods, high performance computing, or other related fields Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time
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Research Framework Programme? Other EU programme Reference Number FEDER-01488500 Is the Job related to staff position within a Research Infrastructure? No Offer Description A call is hereby open for one (1
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Job Description Job Responsibilities: -Prepare plant culture and materials for nucleic acid and chemical isolation -Conduct library preparation for high-throughput sequencing and analyses -Conduct
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experimental collaborators to connect computational innovations to biological insight, with the goal of producing high-impact publications in computational neuroscience and AI. Candidate We are seeking