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Field
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, Computational Science, Physics, Engineering, or a closely related discipline Strong background in differential equations and numerical methods Solid programming skills e.g. Python, C++, Julia or similar Interest
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allowance. The employment will initially be limited to three years. Important: Applicants must not have resided in Germany for more than 12 months in the past three years. Group website: https://biophys.uni
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, programming competence for research (e.g., Python and/or MATLAB and reproducible workflows), and the ability to design and execute rigorous computational experiments. Familiarity with optimisation, networks
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skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX or PyTorch, is a plus. In addition to above-average interest in the topic
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skills. Experience with programming, preferably Python and R, is required. Experience with mass spectrometry data, in particular metabolomics, and geometric machine learning is a plus. In addition to above
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
into the high-performance code hawen (https://ffaucher.gitlab.io/hawen-website/ ) with the support of the development team, enabling their application to real-world applications. The program will be divided
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transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more. For more information, you may refer to https://www.uni.lu/snt-en
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Modeling (Conceptual process simulations) is a major requirement for this position. Familiarity with both GUI-based process simulation tools (e.g., Aspen Plus, SuperPro Designer), and Open-Source Python
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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analysis. • Hydrological and hydraulic simulation. • Machine learning, including unsupervised clustering and predictive modelling. • Working with large, complex, multi-source datasets using MATLAB, Python