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simulations of cells and systems. You should: • Hold a relevant PhD/DPhil or be near completion together with relevant experience • Possess sufficient specialist knowledge in the discipline, particularly
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simulations of cells and systems. You should: Hold a relevant PhD/DPhil or be near completion together with relevant experience Possess sufficient specialist knowledge in the discipline, particularly continuum
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innovative approaches to minimize cell polarization by precisely controlling electrolyte transport properties both in the bulk and across interfaces. Develop novel electrolyte chemistries aimed at directing
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& Forensic Science, Nutrition and Dietetics. Specialist facilities include SRIF-funded Genomics and Mass Spectrometry centres, a radioisotope suite, cell culture facilities, a Biological Services Unit, a
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the appointment. Ability to demonstrate professional competence in relevant research activities. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
in vitro maintenance of the HSPCs for further application in gene editing methods. To achieve this, an integrated analysis of the fundamental biology of HSCs and progenitor cells to understand (and
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/electrolyte interfacial structure-property relationships to gain deeper insights into material behavior. Develop innovative approaches to minimize cell polarization by precisely controlling electrolyte
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criteria PhD in Neuroscience or near to completion* At least one first-author publication in a scientific journal Extensive experience working with mice Extensive experience analysing single-cell RNA
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in colorectal cancer. You will be responsible for developing spatially-resolved models of metastatic outgrowth in the liver which account for interactions between stromal, immune and tumour cells. You
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imaging data - Developing new methods for inference of copy number alterations from single-cell DNA sequencing data - Analysing patterns of single-cell copy number variation to identify mechanistic