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combining molecular genetics, cell biology and biochemistry to dissect calcium signalling and decoding mechanisms in the liverwort Marchantia polymorpha. The Norwich Research Park Biosciences Doctoral
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Research and Professional Practice Programme, Faculty of Education, seeks to appoint a full-time Research Assistant/Research Associate in Adoption Research, Prevention Science and Quantitative Methods
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engineering diploma in geosciences, geophysics, hydrogeology, geology, computer science applied to geosciences, data science, or a related field. This project lies at the intersection of geosciences and
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, curious, and self-motivated candidates with (or expecting) a strong undergraduate or Master's degree in physics, engineering, applied mathematics, materials science, computer science, or a related
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Science and the Division of Cell Systems
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AstraZeneca and Newcastle University , will develop predictive models for pharmaceutical manufacturing and provide access to industrial data and high-performance computing facilities. You will gain expertise
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, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation