82 Environment PhD positions at PhD Programme "Gene Regulation in Evolution" in United-States
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-disciplinary training. 3.5 years funding includes stipend, tuition fees for UK students A supportive environment as signatories of the Researcher Development Concordat (www.vitae.ac.uk/policy/concordat
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their consequences are for climate change mitigation, biodiversity conservation and restoration, delivery of ecosystem services and other specific policy goals. The team offers a stimulating working environment
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University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals
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research; you will be positively impacting people’s lives and the environment. Eligibility Candidates must hold a UK Bachelor degree with a minimum of Upper Second Class honours in Computer Science
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university with over $60 million annual research expenditures, more than 200 academic programs and an enrollment of approximately 12,000 students. We offer a rich academic experience in an environment
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to their environment. In this PhD studentship, we will develop the materials, methods, and designs to control the 3D distribution of differing functional materials, giving high-resolution control over graded properties
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dimensions, fully 3D-printed electronics integrated into structures, and responsive materials tuned to their environment. In this PhD studentship, we will develop the materials, methods, and designs to control
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and clinicians: an excellent opportunity for inter-disciplinary training. 3.5 years funding includes stipend, tuition fees for UK students A supportive environment as signatories of the Researcher
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robust research environment. The research will lead to the development of refined techniques for detecting viral pathogens and enhanced predictive capabilities for assessing viral risks in water treatment
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semiconductor, glass and optoelectronics sectors, then UK-SIFS is your opportunity. Application areas: IOT, imaging and artificial / machine vision, monitoring the built environment, extreme environment