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Field
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2 Oct 2025 Job Information Organisation/Company Instituto Politécnico do Cávado e do Ave Research Field Management sciences » Other Economics » Financial science Engineering » Computer engineering
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computer tools such as Excel and the QGIS Geographic Information System; knowledge on programming in Phyton and/or R, irrigation, modeling, and spatial data analysis. 6. FUNDING AND SCHOLARSHIP COMPONENTS
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(e.g., DNA extraction, quantitative PCR, DNA sequence analysis) Preferred Factors: Will be considered preferred factors: Interest in pursuing a PhD. Previous experience in tabular data processing and
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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
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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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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
research in top-tier design and manufacturing journals, proven manufacturing protocols for multiple production technologies, detailed cost analysis of different manufacturing approaches, and validated
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Research Studentships (for students of a Master or Integrated Master students) - (BL202/2025-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months agoengineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Country Portugal Application Deadline 4 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not
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on soil behaviour(2)Analysis of pile-supported wharves founded on liquefiable soil(3)Modelling for seismic assessment of soil-structure systemsDesired Qualifications:•Strong background in Geotechnical
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that, they can be replaced by a declaration of honour. Preferential factors: • Expertise in machine learning, information retrieval, natural language processing. • Expertise in conversational models and systems
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to or higher than 14 (out of 20). Applicants must also be enrolled in a Master’s programme in Computer Engineering (or a related field). 2. Work Plan: The research fellow will contribute to the development and