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: Engineering and Data Science Admission requirements: Applicants eligible for this call must cumulatively meet the following two requirements: Requirement 1: Be enrolled in a PhD program in the area of
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courses: Students enrolled in a PhD. Non-conferring degrees courses: Masters enrolled in non-academic degree courses. CANDIDATES PROFILE / CANDIDATE ADMISSIBILITY REQUIREMENTS Mandatory requirements: In
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PhD Studentship: Hydro-geomorphic Impacts of the Return of the Beaver, Fully-funded MSc by Research.
Until approximately 500 years ago, European Beaver (Castor Fiber) were hunted for their fur, castoreum and meat, leading to their extirpation (local extinction) on the British mainland and a consequent degradation of the freshwater habitats that they used to thrive within. The loss of a keystone...
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Engineering is looking for a full time (100%)doctoral scholarship holder in the field of sodium-ion batteries. Batteries will be crucial to transform our society to a sustainable one. As a PhD student you will
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(100%) doctoral scholarship holder in the field of computer vision and modelling for biomedical applications Position You will work actively on the preparation and defence of a PhD thesis in the field
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• suspended sediment • trace elements • microbiological quality This MSc studentship will form part of a larger EPA project entitled AgEValuate which will comprise a team of 2 other PhD researchers
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enrolled at, UniSQ; • not be receiving equivalent support providing a benefit greater than 75% of the student’s stipend rate; • be eligible to commence or continue a PhD program in April 2026; • attend
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and instruction. relAI scholarships are intended to support outstanding students and PhD candidates who are studying AI related subjects so they are able to focus on their studies. relAI offers a cross
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/ Phd qualification). These scholarships are not applicable to recipients of other scholarships from other countries or other scholarship providers *Minimum academic requirements to be considered
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We have several PhD, Research Assistant (RA) and master research thesis’s opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and