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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
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Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Study of the production of axions and other particles beyond the Standard Model in
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al. 2019] and point-force Lagrangian models, with advanced post-processings [Vegad2024]. This work will be carried out with the YALES2 high-performance platform. Where to apply Website https
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all year round Details This PhD project will start by exploring the current state-of-the-art hybrid magnetohydrodynamic (MHD) particle beam flare models of Ruan et al. (2020), and Druett et al. (2023
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-validated, enabling the conceptual extension of the model toward bilateral CI hearing. Work Plan During the first six months, the work will be structured around four main axes. (1) Computational modelling
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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel
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biodiversity, and interactions between environment and society. For more information on ASE please visit https://www.ntu.edu.sg/ase . The Yanyan Cheng research group is seeking a Research Fellow. This position
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to mechanical stimulation Methods and Approaches: The project combines state-of-the-art experimental and computational techniques, including: Transgenic mouse models and lineage tracing Orthodontic tooth movement
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effects, never observed before in an experimental setting, through numerical modelling and laboratory experiments. This PhD thesis is part of a collaboration with the École Normale Supérieure de Lyon and