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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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across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives. You will develop and deploy a self-supervised pre-training
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for software security. The position is for four years of full-time doctoral studies at the Department of Computing Science, where you will be able to work in a dynamic environment with 170 employees from
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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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Engineering » Electrical engineering Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 29 Mar 2026 - 23:59 (Europe/Oslo) Country Norway Type of
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of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives. You will build methods for supervised
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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
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on relevant software will be made available (FPGA programming, Real-time modelling tools e.g. Opal-RT, Speedgoat, Typhoon HIL etc.) Entry Requirements If you have received a First-class Honours degree, or a 2:1
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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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