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culture assays to assess cell–material interactions. Integrate experimental and computational workflows; analyse, document, and report results. Prepare scientific manuscripts and grant proposals
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, or related fields majoring in Computational Fluids Dynamics (CFD); • Well informed and knowledgeable in urban climate modelling; • Highly experienced in using environmental simulation tools, such as
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl
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, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD); Well informed and knowledgeable in urban climate modelling
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Job Description Job Alerts Link Apply now Job Title: Research Associate/Fellow (Data Scientist) Posting Start Date: 22/05/2025 Job Description: Job Description This job description outlines a position for a Research Associate/Fellow (Data Scientist) in Data Science at the Department of Family...
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for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society. The CLIC program is seeking One full-time Research Fellow (with potential opportunities
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programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs
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imaging, head & neck imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS
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We are pleased to invite applications for the position of Senior Research Fellow / Research Fellow as part of a multidisciplinary research programme funded by the National Research Foundation (NRF) and
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are pleased to invite applications for the position of Senior Research Fellow / Research Fellow as part of a multidisciplinary research programme funded by the National Research Foundation (NRF) and the