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imaging, single cell tracking and quantification, large volume 3D bone marrrow imaging with single molecule sensitivity, and ai-supported computational analysis. Job description We are seeking a highly
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track record of research publications Excellent problem-solving abilities The call is open for Alumni of University of Cape Town as part of the strategic collaboration between the Universities. Applicants
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skills in English Strong academic track-record and publication history The ability to collaborate in a multidisciplinary research environment is essential. Personal initiative, ability to work
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of strategic management and innovation. The research team has an excellent track record of publishing in leading journals within the field, including TheAcademy of Management Journal, Management Science
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, environmental engineering or a related discipline and a track record of collaborative and innovative project leadership. Key qualifications: Expertise in aerial robotics design, control systems and experimental
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experience is a plus) Knowledge of UHV and thin-film deposition is advantageous Excellent communication skills in English Strong academic track-record and publication history The ability to collaborate in a
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Geology or other related discipline Demonstrated expertise in machine learning and computer vision algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion Knowledge
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early 2025. Excellent academic track record, with a strong background in machine learning methods and biogeochemistry. Programming experience using languages such as Python, R, etc. You are self-motivated