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population genetics or population genomics. • Experience with bioinformatic analysis of Next Generation Sequencing data, including command-line work in a high-performance computing environment
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also build your research profile through publications, grants and supervision within a supportive, high performing lab. What you will deliver: Design and execute in vivo functional assays and genetic
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policy and practice stakeholders, and translate evidence into meaningful outcomes for communities. Key responsibilities will include. Research: Develop an independent and team-based research program in
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observations and field data collection. Strong competence in data preparation/analysis/visualization with Python, R, or a similar scripting and visualization language. Experience with high performance computing
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in Soil. Why Join Us? This is an opportunity to contribute to a pioneering research programme that combines carbon capture, circular economy, sustainable construction materials, and geotechnical
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networks, high-performance computing clusters, and clinical interdisciplinary collaborations across UT Austin. The applicants will join a collaborative research environment at the Translational AI Excellence
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of Excellence to improve outcomes in HCC. You will oversee the preclinical models of liver cancer and administrative activities, in line with the overall programme. This implies perform and support in vivo work
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sovereignty, and increasing demand for speed, data capacity, and artificial intelligence require research into radiation effects engineering of complex microelectronics. Advanced high-performance devices used
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prediction of agricultural application system performance. You may participate in laboratory, wind tunnel, field, and computational investigations designed to improve understanding of agricultural application
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for such grants. RENEWALL Renewable is subject to performance if the candidate is enrolled in a MSc program - art. 6º, n.4 b) https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf subject to