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Field
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wall-clock time on available hardware. Thirdly, the quest of generality, namely the ability to simulate a variety of flows within a single software package has been a target in the development
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forward to receiving your application! Your work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient
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that significantly improve occupant health, comfort, and overall well-being. Goals and Tasks The goal of the PhD project is to develop the hardware and software components of a smart acoustic sensing
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student will work in close partnership with researchers developing hardware interfaces for device data ingestion and will support clinical validation studies to evaluate the feasibility, acceptability, and
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-guided treatment planning and targeting Optimization of targeted drug delivery and therapeutic dosing Development of closed-loop ultrasound neuromodulation systems Design of custom hardware and software
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systems, optimization and networks, embedded and real-time systems hardware and software, fault diagnosis, cyber-security, reliability, resiliency and fault tolerance, cyber-physical systems, Internet
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assisted ISAC framework available at the TUM ACES Lab. ▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior. ▪ Working
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twins is considered an asset. You have strong programming skills in Python and/or MATLAB. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP), and software
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vulnerabilities) hardware, software and services are connected, often on-the-fly, due to millions of user interactions. This is compounded by complex and changing supply chains with varying levels of security
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computing hardware and quantum algorithms that solve important chemical problems in the life-sciences and sustainability. NQCP invites applicants for PhD fellowships in the Algorithms & Applications (A&A