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Applications are invited for a Postdoctoral Research Assistant in Planetary Surfaces. The Planetary Surfaces Research Group within the sub-Department of Atmospheric, Oceanic and Planetary Physics
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and assessment of ocular inflammation models, such as intravitreal injections, ocular imaging techniques and flow cytometry. Moreover, applicants will perform a variety of additional procedures such as
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applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental
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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work
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lowland river chemistry. Ultimately, these experiments will be used to parameterise calcite precipitation rate equations and empirical rate constants to inform catchment-scale modelling of ERW practices and
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collaboration with Prof. Giovanna Tinetti and her team and collaborators at KCL. The main purpose of this role is to develop new and/or to use existing models to simulate the atmospheres of exoplanets and use
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methods will be used to close the complexity gap. Applicants will have outstanding achievements or show promise in any area of theoretical solid-state physics, including but not limited to modeling
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analysis strategies including phospho/proteomics and metabolmics, selected cell culture and animal model systems as well as clinical samples will be investigated. Your future tasks: Active participation in
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to develop automated segmentation tools and diagnostic aids for otologic conditions. Working with ENT surgeons, audiologists, and AI researchers, you'll have access to datasets including audiograms and
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: Analyze and integrate clinical and multi-omic datasets from rare disease cohorts. Develop and apply network medicine tools, particularly multiplex network-based models, to address specific challenges in