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Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various
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FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento | Portugal | about 1 month ago
Intelligence; Chemistry; Medicinal Chemistry. Candidate Profile: Master’s degree in Mathematics, Physics, Data Science, Chemistry, or related fields¹; Experience in implementing deep learning algorithms
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develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infinite-dimensional optimization, and statistical machine learning. The goal is to
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surrogate models. The method employs modern posterior sampling algorithms, using measurement data. The developed tools will enable faster and more accurate reconstruction of past and future emergency events
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knowledge of collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals
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navigation. The task also includes the development of the necessary analytical and numerical methods and software tools. Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field
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fixed-term basis until 31st January 2029. The AI Hub: The EPSRC-funded Erlangen AI Hub brings together leading minds from across the UK’s mathematical, algorithmic and computational communities, employing
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, and medicine. Key Responsibilities Collaborate with researchers to design, develop, and refine large language and generative models. Develop novel algorithms for generative modeling tasks and optimize
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to make an important contribution to the development of research in Computer Science (https://www.durham.ac.uk/departments/academic/computer-science/ ). It supports the newly founded JusTN0W initiative