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This research project, part of the Gates Foundation’s global health initiative, involves detailed chemical and biological analysis of liquid and solid waste from innovative toilet systems. Students will handle real human waste samples to develop robust protocols for solid and liquid waste...
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and economic conditions, at Masters or PhD level. For more information visit Universities NZ . Value At least one scholarship is awarded annually, with a value of normally $12,000 per year for up to two
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. Preferential Factors Knowledge of machine learning, information retrieval, and natural language processing. Experience with conversational models and systems. Knowledge of Large Language Models (LLMs) and Large
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be duly proven at the time of hiring. 2; 3. Preferred requirements: Experience using Machine Learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating
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and develop new technologies concering statistics; • Good computer skills from the user's point of view; • Knowledge in the areas of biochemistry and microbiology; • Excellent knowledge
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hematology ● Knowledge in clinical analysis ● Knowledge in statistics ● Knowledge and experience in handling biological samples ● Knowledge of activities inherent to AEQ programs ● Good computer skills from
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6 Mar 2026 Job Information Organisation/Company University of Porto Department Human Resources Department Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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offering solutions to complex problems and creating new possibilities. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future
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Master’s degree in Psychology or a related field; Be enrolled in a PhD programme or a non-degree academic course; Meet the eligibility criteria defined by the FCT Research Grant Regulation (RBI-FCT
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
simulations and models. Workplan involved construction of chemical networks and analyzing them. Additional topics may include exploring those replicators’ errors. The success of this project will teach us about