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databases (potentially using Python for scripting or CMS integration); gathering and documenting user requirements through user research and analytics; leveraging tools like Google Analytics 4, Siteimprove
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data analysis tools (Python, R, or similar) for processing high-throughput sequencing or variant library data Professional Attributes * Strong record of scientific rigor, attention to detail, and
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clusters. 2-5 years. Experience with the installation, maintenance, trouble shooting of UNIX systems in a professional capacity required. 2-5 years. Experience with Python, bash scripting, and distributed
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, the CSATLab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures Knowledge in the field of ML security is desirable. Good Python skills, especially with
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permanent and temporary grasslands. These results will clarify the potential contribution of grassland ecosystems to achieving France's 2050 carbon neutrality goal. Where to apply Website https
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to the development of the project. Participation in the collection, organization and maintenance of databases and technical information generated by the working groups. Where to apply Website https://www.iisaragon.es
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skills. Is confident using digital learning tools such as Python, SAS, Stata or similar. Holds (or will soon complete) a doctorate in Finance or a closely related field. Enjoys contributing to the wider
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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systems using tools such as MATLAB, Python, COMSOL Multiphysics, Lumerical, or equivalent platforms. Contribute to experimental laboratory work in ultrafast and nonlinear optics. Develop and optimise