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management), a better understanding of the processes in source areas has become crucial. Moreover, understanding what happens in source areas is also essential for interpreting developments in nature reserves
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performance. The post-doctoral fellow will be hired by the IRCER (Institut de Recherche sur les Céramiques), in which he will be responsible for optimising the transparent ceramics manufacturing process. He
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Develop scalable single-cell genomics and massively parallel screening pipelines for plant synbio parts discovery, construct evaluation, and plant characterisation Full-time appointment on a fixed
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Develop scalable single-cell genomics and massively parallel screening pipelines for plant synbio parts discovery, construct evaluation, and plant characterisation Full-time appointment on a fixed
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 21 hours ago
cumbersome and costly, process-based (mechanistic) modeling has emerged as an effective alternative. However, many standard Process-Based crop Models (PBM) including STICS or DSSAT were initially built
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with
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. A 129, pp. 6470-6481; J. Chem. Theor. Comp. 21, pp. 6305–6314 (2025). Duties and Responsibilities Carry out research in theory and code development and the processing of large-scale simulations using
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contribute to the preparation of manuscripts. Our research focuses on uncovering the proximate mechanisms underlying evolutionary changes in developmental and behavioural processes in nematodes. Much of our
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 25 days ago
of subgrid models in simulations, in particular for feedback processes Creation of new reference cosmological simulation models of galaxy formation Quantification of modelling uncertainties in simulation
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within a multi-disciplinary research environment consisting of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing