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candidate will have an innovative mindset and interest in cross-disciplinary applications. You will have a strong work ethic and the ability to manage multiple research objectives. Some of your key
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expected to have experience in one or multiple of these skills: Atmospheric modelling, Analysis of atmospheric satellite measurements, Programming in Fortran, and Matlab or Python on Linux systems. To Apply
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, integration, clustering, and annotation ● Proficiency in Python and/or R for large-scale data analysis ● Experience developing reproducible workflows, pipelines, and scalable data-processing frameworks
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organisational skills, with the ability to prioritise multiple tasks and set and meet deadlines Excellent written communication and verbal communication skills with proven ability to produce clear, succinct
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-motivation. Applicant should have strong organizational skills as they will be expected to manage multiple projects simultaneously. Functional knowledge of programming in languages such as Matlab and Python is
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. Coordinate modelling activities across multiple projects and deliver high-quality outputs on time. Integrate new methodologies, including AI and machine-learning approaches, into simulation design. Conduct
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
environments. By leveraging real data collected from multiple Portuguese restaurants, the project develops advanced forecasting models and digital tools, such as digital twins, to monitor and optimize energy and
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multiple active research groups. The Role | Te Mahi In this Postdoctoral Fellow position, you will join the light-matter research group of Professor Niels Kjærgaard to conduct original research within
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tissue specimens Assemble analysis pipelines using machine learning to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other
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between genetics and environmental factors in metabolic-related disorders using multiple innovative methodologies and large human biobanks. The project encompasses 1) Developing strategies to identify and