292 postdoctoral-image-processing-in-computer-science-"LIST" PhD positions in Australia
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comprising one or more of: a bachelor’s honours degree in a relevant discipline (computer science, software engineering), which includes a research thesis or project, with an overall average grade equivalent
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publications in the fields of materials science, materials engineering, chemical engineering, electrochemistry, inorganic chemistry, process engineering environmental science, etc., are encouraged to apply
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the candidate enrolling in the Doctor of Philosophy (Health Sciences), program. The capacity to work both independently and as part of a team in a collaborative manner. Problem solving and organisational
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/admissions/entry-requirements/minimum . Candidate Requirements Undergraduate honours degree or Master's by research degree in a relevant discipline (Computer Science, Robotics, Engineering or others related
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, biology, engineering, machine learning / data science, coding. How to apply: This is an Expression of Interest process. To express your interest in applying, candidates must supply the following information
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experience and publications in materials science, materials engineering,chemical engineering, electrochemistry, inorganic chemistry, etc., are encouraged to apply. Application process Future student, please
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management skills. Candidates with laboratory skills and imaging are desired for this project. Must be eligible to enrol in PhD programs at Curtin. Application process Please send your CV, academic transcripts
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of Philosophy (Health Sciences), or Doctor of Psychology (Clinical and Forensic Psychology) program. Demonstrated capacity to complete writing tasks to an excellent standard and strong verbal communication skills
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engineering, economics, environmental, and communication expertise, 2XE offers bespoke strategies that integrate technical solutions and actionable sustainability insights. 2XE’s methodology prioritizes a
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, the aim of this project is to develop and validate an experimental paradigm that can describe the dynamic processes underlying C2 agility and to characterise the situational factors by which C2 agility can