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Field
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sequences. Development the analysis method and algorithm. 12 to 24 months: Photothermal, photoacoustic and hotspot characterization of several nanoagents with a significantly different hotspot effect
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evaluation of algorithms for early drought stress detection by integrating interactive manipulation strategies with learning-based monitoring methods. This includes designing interaction primitives, processing
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of algorithms for ECG analysis from novel biodegradable electrodes and classical sensors. Data acquisition of ECG signals for electrical characterization of the novel electrodes. Creating a Database of ECG
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twins, enabling real-time stress-testing under simulated edge cases like cyber-physical attacks and sensor failures. The Research Challenges There exists a complex interplay of factors that present
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/algorithmic modelling. Experience with multidisciplinary IoT systems, including low‑power sensor networks and power‑constrained device architectures. Hands‑on experience with experimental testing in
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-identified scans, records and sensor feeds to answer questions such as: Can we predict a patient’s response to treatment without ever seeing their raw file? Can an algorithm learn the warning signs of trouble
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. The Centre is focused on applied research in neuromorphic systems across three pillars: sensors, algorithms, and platforms, and will collaborate closely with its partner ICNS at Western Sydney
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. The primary responsibilities and tasks are: Conduct research in robust positioning methods utilizing GNSS with emphasis on signal- and data processing algorithms and fusion with other sensors with emphasis
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available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and
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fidelity, enabling precise characterization of transmitter errors and nonlinearities. These measurements will be used to generate error signals for advanced AI-assisted digital predistortion algorithms