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sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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supported by the Cell-Scale Biomechanics Lab , and is part of the lab’s recent technology-development projects, aimed at improving the accuracy of drug efficacy screening for chemotherapy. A recent press
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that equips and empowers children, adults, families, and communities to understand and intentionally apply the science of wellbeing, intentional practice, trauma, resilience and growth for themselves
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impact, leveraging one of the highest-quality financial datasets in the industry. What You’ll Do Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and
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relevant discipline (allied health, exercise sciences, biomedical sciences, neuroscience or a similar). Experience with physiological assessments from activities in a research or clinical environment
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with the Burnet Institute, this project will use data from Australia’s largest and longest running prospective study of people who inject drugs to determine the impact of these changes on treatment
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will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
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, economic evaluation and health technology assessment research to enhance the life of kidney transplants and improve the quality of life of patients. The candidate will develop the early HTA model and use it
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the university's research and make scientific work and knowledge open and accessible to future generations. Qualifications Who you are: You hold a PhD in political sciences (or will obtain a PhD in the near future