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Field
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. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and executing protocols for retroviral or lentiviral
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been shown to accelerate and improve the training procedure of SNNs by defining new cost functions that are differentiable and easier to optimize. They can also handle quantized weights, e.g., using
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validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous computing where the focus will be to work on to the current efforts
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, multiscale modeling, optimization, topological/geometric data analysis, among others. • Strong programming skills and experience (e.g., Python, R). • (Preferred) Interdisciplinary research experience with
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: PhD in a scientific field Preferred experience: Strong programming and neuroimaging analysis experience. Familiarity with longitudinal modeling or machine learning techniques is desirable. Why MCW
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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, optimization and the modeling of critical infrastructure (gas pipelines and electrical grids). These application areas are tied together by research in novel algorithms, numerical methods and machine learning
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Postdoctoral researcher in the field of the development of bio-based processes specializing in process design and ex-ante analysis The postdoctoral researcher will work as expert in process design and modeling
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representation learning, and real-world data modeling to stratify risk and optimize MHT formulations. The candidate must thrive in a multidisciplinary, fast-paced research environment and work independently and