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space-based astronomical image slicing spectrograph. The goal is to create and apply a 'digital twin' of the as-built system to simulate and optimize its performance. Key responsibilities include
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 13 days ago
of produced antibodies using high-throughput approaches Optimizing and standardizing library preparation protocols to ensure high-quality genomic data Collaborating with bioinformaticians to validate sequencing
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towards co-optimized solutions that maximize full-duplex MIMO performance. As a postdoctoral researcher, you will also play a central role in driving the future research agenda, supervising PhD students
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. Background: You hold a PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems or related fields. Core Expertise: Strong expertise in Federated Learning and/or Continual Learning
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capabilities. Key Responsibilities: Capturing requirements and analyzing specifications for future detector systems Performing conceptual design and system-level optimization using emerging computing
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optimization tasks at the physical (PHY) and medium access control (MAC) layers, laying the groundwork for compact, locally deployable, and adaptive foundation models capable of sustainably addressing
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(PI) on grant submissions, manuscript preparation, and dissemination of research findings. Execute and optimize phage-related protocols and techniques for experimental workflows. Contribute
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processors. The candidates will contribute to topics including: The offline and online calibration of learning systems through methods such as conformal prediction, hyperparameter optimization, and reliable
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data, including biomedicine and drug discovery. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one