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Field
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. Evaluate and implement digital tools and platforms that support research activities, data management, and collaboration. Process Optimization: Analyze current workflows across research and administrative
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candidate behavior to optimize outreach efforts and generate referrals. Qualifications Fluency in English (additional languages are a plus). Proven ability to prospect and engage leads on LinkedIn and other
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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
, precise transport, controlled release, and therapeutic activity. • Characterize and optimize these biotherapeutics in vitro by assessing their structure, functionality, and stability under storage and
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interface between ESM and the latest version of SIESTA, its validation, its benchmarking, and its exploitation in scientific applications. Work will also involve the optimization of SIESTA on the fastest and
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FUNDACIÓN PARA LA INVESTIGACIÓN BIOMÉDICA DEL HOSPITAL UNIVERSITARIO PUERTA DE HIERRO | Spain | about 2 months ago
platforms - A3.2 Integration with reference architectures and data space components - A4.1 Development and optimization of federated models - A4.2 Integrated testing and model validation
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proteomics datasets. Key responsibilities will include: Pre-processing and performing quality control on raw imaging data. Implementing and optimizing image segmentation pipelines to accurately identify
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, construction, and operation of optimized stellarators and other superconducting fusion devices. Candidates at all career stages, from Assistant Professor to Chair Professor and from junior to senior Researchers
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with companies. GPDS develops different lines of research, in particular the design and development of multisensor acquisition and fusion architectures, applied artificial intelligence and optimization
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Leonardo. The successful candidate will play a crucial role in developing and optimizing machine learning workflows for large-scale environmental data analysis, contributing to the creation of robust and
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learnINg for LArge scaLe InTerconnected sYstems) focused on "Fairness in flow allocation: an optimal transport approach". The FINALITY DN advances the theoretical computer science curriculum focusing