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Field
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uncertainty associated with high renewable penetration in a more systematic and effective way. Specific responsibilities may include: • Developing models (mathematical + software) of existing grid
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software tools, performing cutting-edge research related to digital twin modeling of large-scale infrastructure systems. The position is perfect for recently graduated post-doctorate professionals looking
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://www.fieldrobotics.eu/ ) based at Department of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s
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://www.fieldrobotics.eu/ ) based at Department of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience4 - 10 Additional Information Eligibility criteria Applicants must hold a PhD in instrumentation for ionizing particle detection or a related field
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of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a
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of the selection criteria below. About you Completed PhD or near completion (within 6 months) in Psychology, Public Health, Behavioural or Social Sciences, or related field; Proven experience conducting research
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and scientific articles the supervision of PhD and master students Your Profile: Completed academic university degree with subsequent PhD in physics, computer science, mathematics or comparable fields
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–software co-design for privacy and integrity. ● Mentor undergraduate and graduate students in experimental design, data analysis, paper writing, and professional development; provide apprenticeship
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the detection of zero-day vulnerabilities, and (2) enable continuous cybersecurity assessment of software. More specifically, the project will investigate the use of multimodal large language models and fuzzing