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Field
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or in a course not conferring an academic degree is required before the fellowship contractualization. Selection process The evaluation and selection process involves three steps: 1. Verification
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key academic and non-academic merits Matab and Python software skills (with own evaluation regarding the level in them, from low to excellent) – add links to open-source code of your own if you have any
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analysis software; Organizational skills, time management, attention to detail, and teamwork abilities; Intermediate/advanced level of English language proficiency; Availability for flexible working hours
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, or energy sciences. Familiarity with modern software engineering practices for scalable AI research. Experience in contributing to or preparing funding proposals. Other information: This is an onsite
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of statistical analysis software (e.g., SPSS, R) and data visualization techniques Previous experience working in a research laboratory setting, preferably in pediatrics or related fields. Equal Employment
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Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk
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the language skills required therein if the candidate is not a native speaker of the language(s). Works mentioned in the submitted CV and/or other documents that allow for the verification and assessment
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the digitisation process. You will work closely with the project’s Research Software Engineer and provide material for the digital edition of Woolf’s library according to the project’s schedule. You are prepared
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annotation of links between his reading and his writing. You will report to the project’s PI on a weekly basis. You will work closely with the project’s Research Software Engineer and provide material
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mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal