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Institute for Research in Biomedicine, Università della Svizzera italiana | Switzerland, | Switzerland | about 2 months ago
of Como and Milano. Although located in the Italian part of Switzerland, English is the main working language. Artificial Intelligence applied to antibody discovery The Computational Structural Biology
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at the beginning and end of contract. 30 days of paid leave per year. On-the-job and formal training at CERN as well as in-house language courses for English and/or French. Requirements Research FieldEngineering
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technical or scientific environment. Experience in the field of physics, engineering or computing. Experience in the field of software engineering in a modern development language environment. JAVA and/or
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; Experience in the application of numerical simulation techniques; Proficiency with at least one high level programming language; Basic knowledge of Python would be an asset; Knowledge of accelerator physics
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with conviction and in a logical/structured manner; keeping to the point. Achieving results: delivering high quality work on time and fulfilling expectations. Language skills: Spoken and written English
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and the Italian cities of Como and Milano. Although located in the Italian part of Switzerland, English is the main working language. Artificial Intelligences applied to antibody discovery
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; supporting others. Language skills: Spoken and written English: ability to understand and speak the language in professional contexts. Ability to draw-up technical specifications and/or scientific reports and
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desirable. The role requires flexibility, good organizational and communication abilities, and a talent to multi-task. Enthusiasm and motivation for biological research are critical. The primary language of
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If this challenge appeals to you, we look forward to receiving your online application (English is not an official Swiss language, please choose German, French or Italian as correspondence language). In your
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the C++ language for efficiently dispatching data processing algorithms to heterogeneous computing resources. Ensuring that all available hardware resources (CPU, GPU, FPGA) in the next generation trigger