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legal practitioners and risk managers to pursue research questions with practical applications. SSLA's Social Science Research Professional position is designed for recent college or master's program
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, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills
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and test new catalysts for nucleophilic aromatic substitution. The performance of top catalysts will be quantified through a series of experimental and computational investigations. The scope
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) Established Researcher (R3) Application Deadline 14 May 2026 - 22:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
). Its faculty perform high-quality basic, translational and clinical research in the fields of drug development, pharmacogenomics, therapeutic engineering and computational biology. This research
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in “Sustainable Metal Recovery—Hydrometallurgy & Circular Economy” within the framework of Doctoral Research School Program—BioGeoMetals, funded by the Swedish Research Council. Subject description
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) in Electrical Engineering, Computer Engineering, or Computer Science 2. Demonstrated, successful experience (academic or professional) programming in algorithm level languages such as Matlab/Simulink
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · development of a Python application with a graphical interface, · compilation of parallel applications and
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posts are designed for career development, and the successful candidate will undertake a PhD in parallel with their teaching and research support.You will be part of a large, vibrant, highly collaborative
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research teams. Preferred Qualifications Experience with commercial and/or open-source GIS tools and technologies. Experience in parallel computing (e.g., MPI, Spark) and/or cloud computing (e.g., AWS