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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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advanced statistical methods. Experience working in a multi-disciplinary setting and/or teams. Experience with Microsoft Suite products and working knowledge of at least one statistical software (E.g. SAS
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of the experimental models and the test setup for Task 2, including preliminary numerical modeling of the experimental models using a Finite Element Method-based software. Task 2: Execution of shake table tests with
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 2 months ago
of enrollment/signed commitment to enroll in PhD or Non-degree course in Portugal upon start of contract. Recommendation Letter (optional). Deadline for formalizing the application: September 30, 2025. Form
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of social sciences, technology, programming, and statistical methods, allow us to bridge the gap between organizations and technology that generates processes and uses data for creating impact. By joining DOT
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interest and curiosity in solving technological problems, particularly in translating business challenges into technological solutions that connect software and hardware; Ability to structure and convey
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methods; Experience in conducting field experiments is an advantage; Experience in statistical analysis using different statistical software (R, Python, or Stata); Fluency in English at an academic and
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theory and method, and the proposed implementation plan for the stud. It is important that the topic and the methods in the PhD project are aligned with relevant research on collaborative learning and
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-fields mentioned above. The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science. Required qualifications Formal qualifications
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This position is in person at J.J. Pickle Research Campus in North Austin. Purpose To use advanced geochemical modelling to devise attribution monitoring methods for CO2 leakage in groundwater and surface