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of the Large-Sized Telescopes of the CTAO-North array. About IFAE IFAE is an internationally recognized center for fundamental research in Particle Physics, Astroparticle Physics, and Cosmology. Its main mission
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-collection costs while maintaining validity for marketing and opinion research. Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented
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Collider physics, Neutrino physics and astrophysics; Cosmology including Large Scale Structures, Physics of the Early Universe, Present Acceleration; Topological field theories and Localization. The section
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consequences of vaccines against Respiratory Synctial Virus (RSV) and influenza, and communicating findings to both academic and policy communities. Using data from large electronic healthcare records
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Accountabilities PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular biology. Languages
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chemistry, physics, materials science, and engineering. Our goal is to transition from the current NISQ (Noisy Intermediate-Scale Quantum) era to large-scale, fault-tolerant quantum computers. In doing so, we
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exceptional opportunity for a well-qualified and talented individual to play a leading role in a large interdisciplinary and cross-institution project. AI.RDN+ is unique in its aim to be at the forefront
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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in core methods of machine learning/artificial intelligence. ● Experience with data warehousing and building large, curated datasets with protected health information, suitable for training large
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of Python, Stata or R; research experience; and experience working with large data sets. Preferred start date is June 1st, 2026, with some flexibility. An employment term of 1-2 years is expected. Please