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include: recent extensive hands-on experience in the following: Evaluation of lung inflammation in in vivo mouse models Assays for innate immune responses including ELISAs and Western blotting. Bone marrow
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, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded methodology project
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in the CV; b) Background and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information available in the cv and
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in the Fontana lab at Harvard Medical School in Boston Massachusetts. The work of the Fontana lab is focused on developing and applying software for modeling combinatorial systems of molecular
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modelling and data analytics, and help shape policy that improves lives. As a Research Fellow, you will: Conduct applied research in health economics, particularly focused on economic evaluation, cost
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amplitude analysis and scattering theory, heavy-ion collisions and the properties of hot QCD matter, hadronic probes of beyond-the-Standard-Model physics, and formal developments in lattice QCD. A Ph.D. in
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include modeling of bulk and single-cell transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful
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the application of security mechanisms in LLMs. (ii) Survey of requirements and planning of mechanism(s) that provide security for model input and output data in the context of code generation. (iii) Implementation
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, design, implement, and validate an optimization system for scheduling group classes within the Koachy platform. The specific goals include: Develop attendance prediction models for different types
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an agricultural context, in order to complement existing public datasets, which have enabled the validation of the solutions developed and, eventually, the improvement of existing models. This fellowship also aims