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Field
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-Experience in particle physics phenomenology or related area - programming in C++ - programming in Python - fluent knowleage of English language Welcome: - experience in Monte Carlo methods and statistical
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coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of the semiconductor industry. The selected candidate will join the Quantum Hardware group lead by
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on food safety. The researcher will be responsible for planning and conducting field sampling and laboratory assays, including the development and validation of multiresidue methods by liquid chromatography
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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
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to the inexistence or insufficiency of candidates to continue the contest. IV. Selection methods and criteria IV.1. Selection Methods: Assessment of scientific background and CV [ABC (90%)] and Interview [I (10%)]. IV
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to a senior position, design, organization of work, planning and conducting of experiments for VZ1, publication of scientific results, development and implementation of new innovative methods
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. Practical computer operating knowledge (Word, Excel, Power Point, Origin) is mandatory. The candidate must be motivated and creative, with advanced communication and teamwork skills
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their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling
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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage