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Field
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information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional
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in manufacturing energy use, process systems, or industrial emissions reduction technologies. Possess an excellent quantitative and analytical background acquired through PhD research, which can be
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for this project The selected candidate must have: A PhD in Chemistry, Physics, or other fields deemed relevant to the project, with experience in at least one of the analytical techniques described in the project
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through their work. You should demonstrate: Strong analytical abilities Excellent organizational and planning skills Effective problem-solving and critical reasoning skills Qualifications: PhD in Economics
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within our portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct of tailored studies. We
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This project aims to identify the spatial genetic and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data
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. Excellent analytical, communication, and organizational skills. Interest in mentoring students and contributing to a collaborative academic environment. Minimum Qualifications PhD in optics, physics
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at the forefront of contemporary trauma care. About You The post holder must be pursuing / completed a PhD degree or equivalent in Bio Medical Science related field. Pursuing / completed PhD degree or equivalent in
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Advances (https://doi.org/10.1126/sciadv.abh1275; highlighted by @NCIgenomics as the #1 favorite paper of the year), and Analytical Chemistry (https://doi.org/10.1021/acs.analchem.4c05138). We are supported