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Field
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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, consecutive or interpolated, cannot benefit from the scholarship in competition; Candidates enrolled in a degree course: Enrollment in a PhD in the area of Informatics; Proof of academic qualifications
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the PhD has been awarded at the latest within 5 months after the closing date for applications. The applicant must have good programming skills, excellent knowledge of algorithms, numerical methods, and
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First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 29 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Other Job Status Extra Information Offer
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of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
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Credit and Qualification Framework level 12 (PhD) plus track record of emerging independence within a research/professional environment, or alternatively possess professional qualifications and experience
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staff, as well as 28 PhD scholars. Population health scientists and researchers at RCSI have an impressive, multi-year track record undertaking impactful multi-disciplinary research and collaborating
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algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and neuroscience. The candidate is
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. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including trajectory