57 biology PhD positions at Institute of Molecular Biology, Johannes Gutenberg University Mainz and its University Medical Center • International PhD Programme "Gene Regulation, Epigenetics & Genome Stability" • in United Kingdom
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work within our circadian biology research group to contribute meaningful research that addresses challenges with a deep impact in food security, for present and future generations. You’ll also develop a
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Funding providers: EPSRC (CASE) with co-sponsor, Grove Nanomaterials Limited Subject areas: Nanotechnology, physics, chemistry, biotechnology Project description: Nanostructured materials already play a vital role in society. For example, the red lines on a Covid test are nanoscale gold...
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work within our circadian biology research group to contribute meaningful research that addresses challenges with a deep impact in food security, for present and future generations. You’ll also develop a
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Supervisory Team: Thalia Dominguez Bucio, Frederic Gardes, Rand Ismaeel, Matthew Mowlem Project description This project sheds light on ocean biology and ecosystems by developing a robust
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candidate will be trained in an array of biochemical and molecular biology techniques (e.g. cloning, recombinant protein expression, membrane protein purification, liposome reconstitution assays, protein
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provide training in a wide-range of state-of-the-art biophysical, molecular biology and microbiological techniques, from characterizing different types of DNA/RNA structures, gene expression studies
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cellular biology and an honours degree at first or upper second class level in a relevant subject. The candidate should have a first or upper second class (2:1) degree in an appropriate subject. Prior
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biology assays, mass spectrometry and microscopy. Supervisors:Dr Lisa Holbrook and Dr Ioannis Smyrnias Entry requirements Open to candidates who pay UK/home rate fees. See UKCISA for further information
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The burgeoning field of synthetic biology offers promising avenues for engineering artificial cells with tailored functionalities for diverse biomedical applications. This PhD project aims
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expression information in cancer cells, holds transformative potential for understanding cancer biology. However, its advancement is hindered by data scarcity, which restricts the application of advanced