345 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"Imperial-College-London" Fellowship positions
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submitted your PhD, any offers of employment will be made as Research Assistant on level 5 of the University grade structure. Upon successful award of your PhD and evidence of this fact, you will be promoted
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behaviour, market microstructure, and platform economics to generate testable predictions and policy insights Develop and estimate structural models of trading behaviour to understand deep parameters and
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create and submit innovative research development proposals and funding bids. The successful candidate will have significant prior experience of: • Knowledge of protein structure and engineering
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create and submit innovative research development proposals and funding bids. The successful candidate will have significant prior experience of: Knowledge of protein structure and engineering. Experience
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– chromatography, electrophoresis, activity assays, binding assays etc. • Experience in structural enzyme characterisations, in particular X-ray protein crystallography (Macromolecular X-ray crystallography, MX
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structural geology or relevant topics with a special focus on fault characterization, both fault geometry and properties. The applicant should have worked on fault characterization at multiscale, outcrop
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range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills
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with laboratory work is an advantage. Experience with statistical analysis is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 15 hours ago
high-volume data to prepare for modeling; Learn how to adjust model structures/parameters based on calibration data, and evaluate model credibility using validation data; Learn how to execute modeling
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stages of virus life cycle. Inspired by TG, we recently created a library (> 180) of second-generation semi-synthetic antivirals that can be structurally categorised into different compound families