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of income, including other scholarships If you have applied for admission to a Master's programme in parallel: reference number and submission date of your application. Incomplete applications cannot be taken
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forming (DDF) presents a promising approach for producing sustainable fibre-reinforced composites, offering key advantages over traditional autoclave processing of prepreg materials. These benefits
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2025. Provider: Murdoch University No. of Scholarships: Multiple Duration of Award: Duration of degree Level of study: Postgraduate Semester Availability: Semester 2 Semester 1 Study Area: Education
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trials of the biofuel production process by liquefaction and analysis of the potential application on an industrial scale. Work Plan • Physicochemical characterization of samples • Conversion of waste into
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Exercise Science (Research) (M1275) in 2025. Provider: Murdoch University No. of Scholarships: Multiple Duration of Award: Duration of degree Level of study: Postgraduate Semester Availability: Trimester 3
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appropriate to the target tasks. • Processing and structuring of sports data from diverse sources, including performance time series, game data, and statistical records. • Investigation of progressive modelling
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parameters. Tasks: • Develop a GUI that allows interaction with the application outside of Unity • Develop an LLM-based system to assist in automating the PCG process • Develop connections between different
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be submitted by email to the address: a.londral@fct.unl.pt . Documentation to be provided during the contracting process: Proof of enrollment in courses not conferring an academic degree or in a study
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, FOR THE PROJECT RESEARCH STUDENTSHIP, FOR THE PROJEC ‘HEALTH-UNORTE II’ (OPERATION CODE ON THE NORTE2030-FEDER-01786400 FUNDS BALANCE), COFINANCED BY THE EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) THROUGH THE NORTE
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with linguistics or corpus analysis; b) Knowledge of databases, XML, or related technologies; c) Familiarity with text annotation processes in a digital environment; d) Familiarity with open-access data