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-scale testing, numerical modelling, and field investigations familiarity with strength, durability, and structural testing of cement-based materials is an advantage experience with data processing and
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processing and analysis of large datasets. Evidence of creativity and capability of independent research. Fluent oral and written communication skills in English. Desired qualifications: It is an advantage
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you can become our new colleague at Department of Process, Energy and Environmental Technology at The Faculty of Technology, Natural Sciences and Maritime Sciences. The position is available from
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intelligence, including machine learning and computer vision, robotics, and physics-based modelling, the DISC Lab pioneers new methods for monitoring, digitalization, and automation in construction. We
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Responsibilities: Conduct project related research on geophysical/geomechanical investigation, geomodelling, data analytics, and machine learning. Responsible for processing and analyzing geophysical/geomechanical
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selection, wafer-level process development, and reliability demonstration to deliver a manufacturable 3D-integration solution that supports NTU’s leadership in industry-relevant advanced packaging research
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mouse surgery and xenotransplant. Experience with stem cell work and stem cell-derived 3D hepatic organoid differentiation. Proficiency in English, both written and oral. Persoonal skills We are looking
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people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr
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unknown PRRSV strains and present a portfolio of biomarkers, cell populations, and/or immune processes to target for revised immunomodulatory design strategies that are catered towards prevention/treatment
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, and define data needs; track, curate, and upload raw and processed datasets to hubs and repositories as appropriate. · Follow relevant scientific literature to ensure use of optimal methods and