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in a supportive team environment and is eager to take the lead in characterising Mtb populations from patient samples. The successful candidate will play a central role in microbiological data
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), based at the Centre for Human Genetics, University of Oxford. The post aims to assist with the preparation and molecular characterisation of tumours using multi-omic analysis focusing principally
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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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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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industrial experts. Nice to have: Proficiency in programming languages (Python, MATLAB, or similar software) for data analysis/model automation. Prior industrial collaboration or scale-up project experience
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“Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted
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knowledge of statistics (R) Experience with multiverse analysis and open science practices Experience in the measurement and evaluation of eye tracking data is desirable Experience with physiological data
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well as proficiency in MATLAB, Python, or similar for real-time data analysis. Knowledge of implantable neural interfaces, electrophysiology, and stimulation technologies is also essential. Informal enquiries may be
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husbandry and make fly food. Carry out experiments in the wet lab and fly lab and collect data. You will have opportunities to develop your technical skills (microscopy, data collection & analysis
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Assistant (Postdoc) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven