213 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"L2CM" Postdoctoral positions in United Kingdom
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soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps will be highly rated in the selection process. The project also
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curriculum vitae and a supporting statement, setting out how you meet the selection criteria for the post, using examples of your skills and experience. Click here for information and advice on writing
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needed for carrying out experiments, designing and running experiments, organising, analysing and interpreting data and sharing data with the wider team, writing manuscripts about key findings. They will
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Model Development Plan for future in-orbit demonstration. Further information about the Department of Electrical Engineering and Electronics can be found here: The post is part-time at 14 hours per week
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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-learning models based on first-principles data and apply these methods across increasingly complex structures and chemical systems. The role will involve both methodological development (datasets, models
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respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page The Role and
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About the role We seek a motivated Postdoctoral Researcher to make use of spatial proteome and transcriptional cell atlas data to explore how two microbial cells can manifest stable endosymbiotic
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ability to write clean, well-documented analysis code. Ability to work with EEG data and apply multivariate methods to extract meaningful measures relevant to memory and consolidation. Skilled in developing
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demonstrable molecular biology skills. You will be able to design the experiments, execute the experiment using various molecular biology techniques, and help analyse the data. You will have highly effective