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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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computer architecture. The research focus of this PhD position is to design better performance and energy models for Edge Artificial Intelligence (AI) systems. Such models can serve two key purposes. First
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 22 hours ago
Institute of Communication, Culture, Information and Technology University of Toronto Mississauga 2026 Summer Sessional Lecturer Positions Posted in accordance with the CUPE 3902 Unit 3 Collective
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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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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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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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). 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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Qualifications Educational Requirements PhD in engineering or science (e.g. Physics, etc.) majors with a focus on NDE, advanced manufacturing, sensing, robotics, or AI/ML Required Experience Academic
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13 Feb 2026 Job Information Organisation/Company Kaunas University of Technology Research Field Other Researcher Profile Other Profession Positions Research Support Positions Application Deadline 13
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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