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the top 10% of their class in MSc and BSc, and have exceptional grades; should have a background in microwave engineering and machine learning; should have strong communication skills and be fluent in
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Website https://bit.ly/3HDLRTw Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Specific Requirements Position Specific Required Qualifications: PhD in in Computational Sciences
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and resistance. Through close collaboration between laboratory and clinical teams, our work bridges mechanistic immunology with real-world patient outcomes. To learn more about Hosoya Lab - https
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. The PhD will focus on two complementary approaches: 1) Enhancing CDI with machine learning: improve this technique using convolutional neural networks (CNNs) trained on simulated data, enabling faster and
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, which specializes in modelling, control, and optimization of mechatronic systems and processes (https://dynamics.ugent.be ). We are looking for a motivated and talented PhD student to delve into the field
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conducting research "in the wild" (e.g., field deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an
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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 125th globally and 10th in Australia in the QS World University Rankings 2026. To learn more
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enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision
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of our study programs as well as continuing education (industry, DTU’s MBA, …) Teach, guide, and supervise BSc and MSc student projects, as well as supervise PhD students Actively participate in creating a
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modelling, multimodal neuro-imaging and physics-informed machine learning to improve assessment of glioblastoma treatment response. The candidate will also be expected to contribute to the formulation and