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6 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar
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Researcher (R2) Positions PhD Positions Application Deadline 5 Mar 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU
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of experience are required for higher rank positions. Clearance Ability and willingness to obtain DoD security clearance is required. BS in Electrical Engineering or related field required; MS or PhD preferred. 7
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systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or
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presenting technical work at scientific conferences Required Qualifications: Required qualifications PhD in engineering, neuroscience, biostatistics, bioinformatics, computer science, or a related quantitative
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modelling, data-driven approaches, and experimental validation. The project combines computational materials science with practical membrane design for electrochemical energy applications. PhD Position 1
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new member for our working group “Process Engineering for Fiber Plants” in the department “System Process Engineering”, starting on April 1, 2026. Scientist (for PhD) (m/f/d) In the DFG-SFB, coordinated
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). Superconducting Qubit Design Using Qiskit Metal: Engineering of Superconducting Quantum Architecture. Apress. Gayatri, J., and Veni, S. S. (2025). Material-Driven Optimization of Transmon Qubits for Scalable and
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technologies, software development, algorithm design, and data applications. Discipline, including, but not limited to: Computer Science and Technology, Cyberspace Security, Data Science and Big Data Technology