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Background Expressions of interest The HERknee CRE PhD Scholarship aims to support outstanding candidates undertaking research aligned with the objectives of the HERknee CRE’s mission to reduce the
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of the 2023.13940.PEX project, namely: Isolation of sRNA fraction from different edible mushrooms species by anion exchange chromatography; characterization and sequencing of these sRNAs fractions; identification
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country of origin?" Should not have previously completed a graduate degree. Must demonstrate a track record of leadership and service within their community. Should demonstrate alignment with AfOx values
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strong interest in undertaking a 2-year research project on generative AI and academic research develop a research proposal that responds to and aligns with the scholarship topic and articulates
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the following works, aligned with the activities of the NRPCES project: The work plan for the PhD student will be developed in close alignment with the objectives of the NRPCES project. It will involve
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Research Studentships (for students of a Master or Integrated Master students) - (BL208/2025-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago) Develop reports and technical documents aligned with the project objectives; vi) Collaborate with project partners in joint activities to achieve the established goals; vii) Actively participate in
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, including, but not limited to, participation in conferences or workshops. Benefits The scholarship provides a one-off payment of $1000. Amount: Up to $1,000 Duration: One-off Quantity: Multiple Eligibility
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
optimization. The research focuses on creating efficient design workflows, validating multiple additive manufacturing approaches, and developing scalable production methods that can support global deployment
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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 | 19 days ago: Until now, we have been using neural networks with traditional architectures, namely the so-called Convolutional Neural Networks (CNNs). These networks are employed as the backbone of the Multiple
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datasets based on the empirical data, followed by bioinformatic and statistical analyses of the multiple datasets using various methods for assessing genetic diversity, population clustering, and ancestral