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Field
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experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation infrastructure; 2) network level optimization for transportation
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working culture. Person Specification First degree and a PhD relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly
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of experience in both aquatic ecology and microbial biogeochemistry. This position will provide robust training in data collection and analyses, in addition to manuscript preparation; guidance in career
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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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your current expertise. A critical, curious, innovative and analytical mind. Ability to work responsibly, reliably, diligently and independently perform experiments and contribute to teaching. Ability
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performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal
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research in Statistics and the application of statistical methods to solve real-world problems in medicine and public health. The research will specifically involve developing innovative analytical methods
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. Solid understanding of power electronics, grid integration of renewables, and stability assessment techniques. Excellent analytical, programming, and computational skills. Strong publication record in
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-ray crystallography, X-ray photoelectron spectroscopy and other analytical tools. Undertake electrochemical characterisation of the prepared catalysts. You will be trained on all required synthesis
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proficiency in the following areas: programming languages (C, C++, Python), embedded systems prototyping, data analytics, signal processing, academic writing Application should include: Cover Letter, Statement