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hands-on experience in AM. Candidates with expertise in robotic systems, AM, material formulation, process optimisation, or composite development are preferred. Familiarity with mechanical testing
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professional cinema, mirrorless, DSLR, mobile, drone, and supporting camera systems utilizing appropriate lighting, composition, stabilization, and professional audio recording techniques. Captures high-quality
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digital twinning, linking process, structure, and performance in generating input parameters for integrated computational materials engineering (ICME) models. You will use facilities available through
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position within a Research Infrastructure? No Offer Description PhD student in nature-inspired biocarbon–enzyme composites for PFAS remediation The Department of Earth Sciences is Sweden"s most comprehensive
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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triage processes, staffing coordination, resource planning, operational reporting, process improvement initiatives, and quality and service monitoring. Responsibilities include implementing and maintaining
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about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Do you want
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 7 days ago
particularly relevant, although it is not mandatory. Experience with experimental animal models, molecular and cellular biology techniques, stereotaxic procedures, metabolic phenotyping, imaging, transcriptomics
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. This position champions a proactive, solutions-oriented approach that advances the organization from a transactional research model toward a strategic intelligence function focused on fundraising outcomes