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, organizational, and time management skills Comprehensive computer skills, with the ability to learn and utilize new and emerging technology Advanced skills in Microsoft Suite, Adobe products and standard methods
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experience with analytical approaches such as IRT, CFA/EFA, SEM, multivariate regression, causal inference methods (e.g., matching, DiD), and grounded theory or thematic analysis Advanced computer skills and
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understanding methods used in the laboratory. Reading skills to understand procedures, protocols, and policies. Ability to prioritize work and several projects/tasks simultaneously and complete work/projects
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, systems, and completed work for compliance with codes, safety standards, and specifications. Estimate cost, time, and materials for projects and maintain detailed work records in computerized systems
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proactively seeks new and innovative methods for providing enhanced event planning and communication services to our students, faculty, graduate faculty, employer partners, and on-campus recruiters
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Research Studentships (for students of a Master or Integrated Master students) - (BL202/2025-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago21 Aug 2025 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Computer
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. Empirical/experimental design and emergent behaviour: (multiple) market places, collectives and networks. Simulations: computer experiments, digital twins, hardware in the loop experiments, computational
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. We encourage applications from candidates with formal education in data analytics methods or who are actively engaged in scholarship involving advanced data analytics techniques. Responsibilities
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commercial real estate Advanced knowledge of real estate principles and practices, methods and procedures used in competitive real estate transactions, including value analysis, and source selection techniques
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computational modelling with experimental validation. The project involves developing time- and position-dependent models of electrochemical double layers, and parameter estimation methods incorporating