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partners outside academia and with participatory/living lab approaches – advantage Experience in data analysis (e.g., behavioral metrics, experiments) or prototyping and evaluation – an advantage in 3D/VR/XR
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design, spacecraft systems modelling, structural and thermal analysis, and mission performance verification. Together, these resources support the full development cycle—from early concept design and
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nanoscale vortex-state particles in rocks and other geological materials. These particles are predicted to be exceptionally stable magnetic recorders, yet their internal magnetic structure and recording
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of the functional properties of these compounds and the analysis of their potential applications in accordance with applicable legal regulations. The scope of duties also includes involvement in the organizational
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and optimize Workday foundational data structures (supervisory orgs, job catalog, positions, cost centers, academic/administrative hierarchies). Conduct regular data audits, resolve inconsistencies, and
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specifications; advises as to choice of statistical analysis strategies, reliability of measurements and identifiability of models, and interpretation and presentation of statistical results. 3. Builds and
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methodology for steel fibre reinforced concrete structures assisted by nonlinear finite element analysis and artificial intelligence tools”, project number 16782, operation code COMPETE2030-FEDER-00796500
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Faculty of IT and Design, Department of Computer Science, a 2-year Postdoc position in theories for programming semantics, methods for verification and reliability assurance of combined classical and
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, including usage, performance, and error tracking. c. Troubleshoot production issues and optimize reliability, latency, and cost of AI services. d. Assist in maintaining model and endpoint lifecycles (e.g
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from lake sediments collected from many sites across arctic-alpine landscape in Europe. Currently, shotgun sequencing does not yield reliable identification on species level for vascular plants. Using