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variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor interoperability, and process experimental
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doctoral level qualification in a relevant area and evidence of continuous professional development. Proficiency in the use of proprietary software such as ANSYS, ASPEN, CONVERGE, AVL and COMSOL. Significant
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by Dr Joseph M Barnby. You will work within a wider project funded by the Wellcome Trust that will test the social and non-social cognitive mechanisms underlying paranoia across social context, under
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-Doctoral Associate will be responsible for the formulation development and characterization, in vitro and in vivo performance testing deliverables for drug candidates in early and later stages of clinical
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simulation software to study interactions. Applicants must demonstrate a track record in applying such approaches including a relevant Ph.D./DPhil and experience. Applicants must also be confident in using
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adapt to changing priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software
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scientists to plan and execute interdisciplinary experimental campaigns. Maintain and contribute to analysis software and simulation tools for experimental planning and data reduction. Required Knowledge
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-time systems (#54), AI, machine learning & data mining (#65), software engineering (#71), mobile computing (#18), and computer security (#88). In the last few years, students and faculty in
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simulation laboratory as well as supporting ongoing DOE projects. Candidates will be required to work in at least 4 of the following areas: Develop a functioning test bed using Opal-RT PHIL real-time platform
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electrophysiology in brain slices and cell cultures. Performs behavioral tests in mice. Performs in vivo 2p imaging in head-fixed mice. Compiles and analyzes data with appropriate conclusions and recommendations in