250 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Uppsala-University" PhD positions in United Kingdom
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Field
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realistic interventions might be helpful to individuals with limited access to nature. Tracking Antimicrobial resistance evolution and dissemination in human-impacted waterways Masters plus PhD project
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student to revolutionise electrical machine design and development based on programmable 3D electrical steel technology enabled by advanced manufacturing processes and emerging magnetic materials
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futures and alternative development pathways, it has been undervalued in urban planning and policymaking for coastal cities. The DFA’s interdisciplinary emphasis offers a unique opportunity to conduct
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to stimuli? Why do patients vary in their responses to treatment? And what if the genome is altered, how would outcomes change? Central to this work is the development of probabilistic generative models and
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versus foaming, cleansing and other important performance attributes in skin-care products. This project will focus on the development of environmentally friendly formulations, based on easily
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generation and evolution under controlled variations in bathymetry and bed roughness, and will also include evaluating and validating existing numerical models, ensuring their reliability in predicting real
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Belfast , collaborating with over 50 partners from across government, industry, NGO and policy development. The partnership has a range of priority PhD projects and has developed a training curriculum that
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advance understanding of disease mechanisms and lay the groundwork for biomarker development. It is suited to a candidate with a strong interest in dementia research, seeking to develop multi-disciplinary
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for personal development and training courses. What will the student gain from experience (transferable skills, employability): Successful candidates will develop important technical skills in spacecraft
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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity