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set to deliver an ambitious research vision and where you can contribute to the training of PhD and Master’s students. You are excited about opportunities to communicate with international collaborators
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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and sports clubs for those looking for more than just a great place to work. About you Applicants should hold (or be close to obtaining) a PhD/DPhil in a relevant field, with significant relevant
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for a further 6 months once in post. For more information: Prof Eric Robinson, eric.robinson@liv.ac.uk If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30
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on qualifications and relevant skills acquired and will also be determined by the funding available. About you Applicants will hold a PhD/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural
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of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to contribute to the development, optimisation and implementation of an automated workflow
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new phase microscopy hardware to provide real-time feedback on the polymer network during laser processing. About you You should possess (or be near to completion) of a PhD in optical engineering or a
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, provided at the bottom of the page. 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
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This role is an exciting opportunity to work on the interplay between biology and physics on ocean carbon sequestration by the Biological Carbon Pump. You will run an ocean biogeochemical model