899 evolution-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-MACAU" PhD positions
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funded by the university with excellent opportunities for both research and career development. The newly established research group in Particle and Fiber Technology for bio-based Materials, led by Prof
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the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biological approaches to the development of new imaging
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the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
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governing the formation and function of the testis, production and function of sperm, fertilisation, as well as early embryonic development – in both health and disease. To this end, we combine
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the specialist fields of sociology, political science, communication studies, law, and business. The centre is built on a foundation of social science research orientation, theory development, and methodology
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-related workshops and online courses Key skills development Personal advice and coaching offers Interdisciplinary research events Career and business events Special services for international researchers
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | about 9 hours ago
by thesis advisory committees rotations in three laboratories before you start your PhD project structured training complementing your PhD research and professional development Our scientists
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that TEs fundamentally shape genome function and evolution by affecting gene expression, rewiring regulatory networks, and driving change in chromosome size and structure. In recent years, research
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of Singapore's research and innovation ecosystem and aims to support the development of a sustainable, climate-resilient, and healthy city through data-driven design and policy-relevant research. The programme
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive