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algorithms, and their experimental validation in teleoperation scenarios. Where to apply Website https://trasparenza.uniroma1.it/ Requirements Additional Information Eligibility criteria Eligible destination
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clinical decision support tool for patients with atrial fibrillation, and directly utilizing the specific decision-support device (based on AI algorithms) developed during the study in accordance with
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algorithms. Vision Language Model (VLM) experience is desirable. Qualifications A high-grade undergraduate degree (first class or upper second) in computer science or MSc in related field. Skills Knowledge
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intelligence (AI), and high-performance computing (HPC), as well as quantum-inspired algorithms and quantum machine learning (QML). Responsibilities: Lead and contribute to applied quantum computing research
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). Design and fabrication of the calibration test phantoms Developing and testing acquisition software, and implementing image analysis algorithms and localization methods. Where to apply E-mail
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including, but not limited to, social work, nutrition, palliative care and/or survivorship. Follow guidelines and provider template processes by using scheduling algorithms/decision trees to schedule
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theory, such as method of moment (MoM). • Experienced in computational algorithm on Finite Element Method (FEM) • Possess knowledge of electromagnetic theory, such as Dyadic Green’s function and
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methods for specialized GNSS applications, employing expertise in GNSS systems, signal processing, and estimation theory. Implement software algorithms in C++ and Python in a collaborative environment. Work
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, and machine learning. The successful candidate will support the Principal Investigator (PI) in conducting high-quality research through algorithm development, numerical simulations, and scientific
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Job Description • Develop dynamic models and simulation frameworks for a novel pier-free telescopic coastal barrier system. • Design and implement coordinated control algorithms