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We are seeking to appoint a Postdoctoral Research Scientist in Statistics to join Professor Xin Lu’s group, with an affiliation with OPIG. The Lu Group (https://www.ludwig.ox.ac.uk/research/xin-lu
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developability assessment tools such as aggrescan, AbImmPred etc. - Strong knowledge of different machine learning architectures and training techniques is essential. - Proficiency with programming in Python and
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-Exempt Scope of Job To provide high level technical skills to ensure the safe operation of all Machine Shop and Engineering (Research and Educational) Lab equipment. Responsible for the safe distribution
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Behavioral Lens: Guide efforts to develop novel AI technologies and machine learning interventions, making new algorithmic tools possible. Ensure AI and algorithmic innovation efforts focus on enhancing human
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using Ansys Polyflow, Ansys Fluent, Moldex3D, or similar tools Design of injection molding and extrusion systems, including tooling Inline, online, and in-situ process sensor technology; rheology and
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workflows and contribute open source tools for use in data analysis Present your results at international conferences, publish in peer-reviewed journals, and contribute to training activities within
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comprehensive benefits package to all our employees at the University. https://www.uta.edu/hr/employee-benefits To help you understand the full value of these benefits, we have created a tool that calculates the
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competence. The systems and tools you will work with include Arteria (https://github.com/arteria-project ), CheckQC (https://github.com/Molmed/checkQC ), nf-core pipelines (https://nf-co.re/ ), and Nextflow
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About the Opportunity JOB SUMMARY The Learning and Brain Development Lab (PI: Juliet Y. Davidow) at Northeastern University in Boston, MA, USA (https://lbdlpsych.sites.northeastern.edu/) is excited
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litigation. You will also use various research tools, such as Bloomberg Law, Lexis Securities Mosaic, Sentieo, CRSP and Compustat/CapIQ financial database, etc. DUTIES: Plan and perform research tasks