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this Ph.D. topic proposal: • The optimal approximation of 3D shapes using meshes is known to be a NP-hard problem. This means that finding the best possible mesh representation for a given shape, while
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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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manipulation Develop and optimize reporter cell line platforms with integrated fluorescent markers for cellular state transitions Establish large-scale screening protocols using CRISPRa and transposon-based
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Clinical Research Associate II, you will support Faculty Investigators in the Department of Psychology and Biobehavioral Sciences on studies that aim to foster optimal health potential and quality of life
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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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blots, native gels, in-gel activity assays). Electron microscopy sample prep, sectioning and imaging. Optimizing and writing up lab protocols. Shipping and cataloguing of reagents. Lab fridge and freezer
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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