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, the position of an Experienced Researcher with 12,50% of the regular working time is to be filled as soon as possible, for the project Non-Gaussian self-similar processes : Enhancing mathematical tools and
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, the position of an Experienced Researcher with 12,50% of the regular working time is to be filled as soon as possible, for the project Non-Gaussian self-similar processes : Enhancing mathematical tools and
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physics, or related fields). Advanced Training / Specializations: Radar. Computer Skills / Operation and Programming (required and proficiency level): Microsoft Office, advanced level. Foreign Languages
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Information Eligibility criteria As part of the selection procedure for the project team for the contracted project entitled “Sustainable AccessibIlity to the LAbour Market (SALAM)”, a selection process is
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appointment and to travel to other universities and partner organizations within the network for training activities and mobility periods. Selection process Application file In order to apply for the vacancy
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market using data available on online recruiting platforms, deploying state-of-the-art approaches in Natural Language Processing, Semantic Web, and Agent-based Modeling. For this purpose, an extensive
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market using data available on online recruiting platforms, deploying state-of-the-art approaches in Natural Language Processing, Semantic Web, and Agent-based Modeling. For this purpose, an extensive
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studies institution in Romania Minimum 1 year of professional research experience in Mathematical Analysis/Partial Differential Equations. Selection process The successful candidates will be selected based
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LanguagesROMANIANLevelExcellent LanguagesENGLISHLevelExcellent Research FieldEconomicsYears of Research Experience1 - 4 Additional Information Selection process https://www.ubbcluj.ro/ro/infoubb/posturi_vacante/files/proiecte/2025
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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