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programming skills in Python • A friendly, motivated, positive, hands-on, initiative-taking, collaborative attitude and demeanor • Fluency in English Any of the following will be a plus: • Experience developing
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exceeding $2.5 million. Research activities are conducted in multiple research laboratories at the Department and research centers in the College and the University. Job Description: The Department
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the Leverhulme Trust – uses an innovative combination of participant generated drawings, gaze-contingent eye tracking, and computational analysis, carried out over multiple experiments to reveal how our
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
potentials • Good programming skills in Python • A friendly, motivated, positive, hands-on, initiative-taking, collaborative attitude and demeanour • Fluency in English Any of the following will be a plus
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, using signal processing/machine learning techniques, to realise all-weather perception in autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project
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to understand how multiple restoration schemes interact across entire estuaries. There may also be a fieldwork component to validate model outputs and explore real-world restoration dynamics. Working within
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multiple smaller/lighter elements. This could make them suitable for a range of applications that could include: (i) line-side cantilever gantries for railway electrification; (ii) transmission tower and
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culture and in vitro models of mucosal immunity Data analysis using Python and digital image processing These skills are highly transferable to careers in biomedical research, pharmaceutical development
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, and mineralogy Independent, self‑driven researcher with a strong problem‑solving mindset Proven team player, able to collaborate across multiple institutions Critical thinking to assess model
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autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project covers the aspects of sensing, detection and classification in radar-based perception. Key