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programming and instrument control using Matlab, Python, Labview etc Machine / deep learning expertise Strong analytical skills and ability to work in a multidisciplinary team Excellent communication and
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but not limited to: o Quantum error correction, fault tolerance, and resource optimization. o Entanglement dynamics, quantum control protocols, and hybrid quantum-classical algorithms. o Modeling and
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and supportive research group led by Prof. Pedro Carvalho at the Sir William Dunn School of Pathology. The project will involve the mechanistic dissection of protein quality control pathways using
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motivated and skilled Postdoctoral Researcher to discover and characterize new plant‑based strategies to control nitrogen‑cycle microorganisms, and as such improve plant nitrogen use while reducing nitrogen
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that: The controller of your personal data is Adam Mickiewicz University, Poznań with the official seat: ul. Henryka Wieniawskiego 1, 61 - 712 Poznań. The personal data controller has appointed a Data Protection Officer
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and, Applicants for LPR
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 8 days ago
petrology and relevant data analysis Ability to work in a team Good command of spoken and written English Additional information The position can be filled immediately, but a later starting date is possible
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/modelling tools; Show a strong publication record in peer-reviewed journals commensurate with career stage; and Possess excellent command of written and spoken English; proficiency in Cantonese and/or
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 11 days ago
the prediction of vehicle flows, energy demand, and flexibility of electric vehicle fleets, with applications to energy and transportation systems. The work lies at the intersection of systems and control, data
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predictive control of carbon mineralisation through high-throughput mineralogy and machine learning.” This is an exciting opportunity to contribute to innovative research at the interface of mineralogy