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Field
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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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policy relevance. Coordinate modelling activities across multiple projects and deliver high-quality outputs on time. Integrate new methodologies, including AI and machine-learning approaches
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and data analysis tools commonly used in bioinformatics (e.g., shell scripting, Python, R). Solid understanding of omics data, including metagenomics, RNA-seq, and metabolomics. Experience with
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
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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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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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-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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, planning, and acting across multiple classes of scientific instruments, enabling a fully integrated closed-loop “self-driving laboratory”. The role focuses on providing the AI core and foundational
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: The desired candidate demonstrates strong theoretical and methodological capacities as well as documented expertise in computational methods. Documented experience with R or Python programming is also very