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22.01.2026, Academic staff This PhD position focuses on developing resilient ISAC architectures. This project aims to implement, test, and demonstrate resilience strategies that enhance ISAC system
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programming skills in Python. You have programming experience in C/C++ or MATLAB (preferred). You have experience with softwarized network stacks or RAN architectures, such as OAI, srsRAN, and FlexRIC
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modelling, data assimilation, and multi-scale neural network architectures applied to spatio-temporal data. The development of these methods is motivated by a concrete and important application: inferring gas
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Systems, or related background and strong hardware design skills. Strong background in computer architecture, digital design, and real-time systems. Knowledge of embedded systems and hardware/software co
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of benchmarking Develop necessary hardware and/or software capabilities relevant to the topic Collect necessary data Perform various experiments to document system development and benchmark against performance
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continues to surge, the steady upscaling of quantum hardware (now reaching thousands of qubits) has resulted in increasingly sophisticated quantum software pipelines. Given the strategic use of quantum
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seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
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/C++ or MATLAB (preferred). You have experience with softwarized network stacks or RAN architectures, such as OAI, srsRAN, and FlexRIC (preferred). You have familiarity with edge computing
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17 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Research Field Architecture » Other Computer science » Other Engineering » Civil engineering Geography » Human
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical