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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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and synthesising robust, scalable electrocatalysts – including single-atom catalysts and molecular complexes – with tailored active sites for alcohol formation. Engineering reactors that support stable
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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track
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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track
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. Fixed term, full time position available for 2 years with a possibility of extension. About the project: We are seeking a highly motivated Structural Biologist to lead projects aiming to understand
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to research in dementia or complex trait genomics Not receiving any other full PhD scholarship or stipend Application process Please contact us via the EOI form . Enrolment Requirements Recipients must complete
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, there is an urgent demand for accurate data on ion-beam collisions with atomic and molecular targets for the development and maintenance of fusion reactors, treatment planning in hadron therapy, and
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chemistry. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR Expression of interest form to the project lead researcher
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The goal of my research is to synthesize and characterize low-dimensional nanomaterials with atomic-scale precision and tailored electronic, optoelectronic, magnetic and chemical properties. In my