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. * Strong background in numerical mathematics, modelling and simulation is required. * Knowledge in Inverse Problems. * Experience in programming (e.g., Matlab, C, Python). * A high level of competence in
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be found here: https://combatdengue.hemsida.eu/ The senior engineer will be associated with the work package 2 – DEVELOP high-throughput and super-resolution tools for virus research. The role
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conferences (e.g., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding
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, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills
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related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools
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advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases (e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux
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or retrosynthesis (e.g., reaction templates, template-free approaches). Proficiency in Python programming and familiarity with ML frameworks such as TensorFlow, PyTorch, or JAX. Experience with cheminformatics tools
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: Causal Inference, Statistics, Deep Learning, Bioinformatics Expertise with deep learning frameworks Expertise in programming languages such as R or Python Experience with advanced deep learning frameworks
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years' relevant professional experience; Strong working knowledge of Python; Solid understanding of metadata concepts and common data formats; Experience in developing desktop and web-based graphical
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data from a wide variety of sources using Python, DAX, VizQL, SQL, and other methodologies/tools. Maintains existing reporting workflows, offering improvements where necessary. Imports, models, and