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repair and service coordination. Maintain detailed documentation of instrument performance, service logs, and corrective actions to ensure optimal operation and data reliability. Flow Cytometry Training
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artificial intelligence (AI) initiatives by developing and training AI tools aimed at automating and optimizing clinical workflows, operational efficiencies, and administrative tasks. As part of our dynamic
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control on equipment to ensure optimal performance. Implement advanced data processing tools, such as molecular networking (GNPS and other online platforms), into the existing workflow
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culture of quality assurance Acquire and maintain optimal relationships with European and international Higher Education quality assurance community Your profile Higher education degree (Master or PhD
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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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, staffing plans and optimal schedule builds including complex schedule options and rotations to meet the workload needs. Full-time day shift Job Responsibilities: Evaluates staffing needs and oversees daily
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. ○ Significant publication record (or evidence of manuscript(s) being prepared for publication) Skills: ● Essential: ○ Competence in software development, optimization, and troubleshooting. ○ Strong
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multi-parametric flow cytometry, immunophenotyping, and in-depth functional assays of T cells from individuals infected with mosquito-borne pathogens. Develop and optimize novel immunological assays
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DTU Physics seeks a talented and motivated postdoctoral researcher for a 2-year position in computational nanophotonics. The goal is to use inverse design, such as topology optimization
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, optimize, and standardize cryo-ET data collection methods on 200 and 300 kV microscopes using software such as SerialEM and Tomography 5. Collaborate closely with the Sample Preparation Lead to ensure