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preferred. Publication record in peer-reviewed journals. Experience in R, Linux, and HPC is required. Knowledge of, or experience with, molecular techniques and bioinformatics analysis, with relevance
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in this area. Specifically, this means being able to understand statistical tools (instead of only being able to apply them). For example, in R, the function lm() can be used to regress an outcome Y
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such as R, Julia, or Python. Excellent communication skills and the ability to work in teams and in a cross-disciplinary research center. Excellent written and spoken English skills. Place of employment
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proficiency in Python, R, or MATLAB. Experience with Deep Learning frameworks (PyTorch, TensorFlow) and LLM APIs is an asset. Communication: Fluent English skills, both written and spoken, with a demonstrated
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in R. Experience with planning and execution of measurement campaigns. Fluency in spoken and written English. Personal competencies You are positive, structured, and dedicated when working in a team
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for predictivemodelling and large foundation models for earth systems. Skillsetssuch as programming in Python/R, Google Earth Engine, JavaScript, database management environments, Geographical AI, and machine learning
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methods, omics data analysis, and spatial tools is highly valued. Programming expertise in Python and/or R is essential. As a person you demonstrate high ambitions. You are equally innovative – and result
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methods, omics data analysis, and spatial tools is highly valued. Programming expertise in Python and/or R is essential. As a person you demonstrate high ambitions. You are equally innovative – and result
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the following areas: Air and surface sampling of fungi in buildings and on materials Basic statistical analysis knowledge (R or similar) and multivariate statistical methods Cross-disciplinary research
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the Gates Foundation and the Novo Nordisk Foundation. Central to the initiative is the development of an open R&D playbook—freely accessible to researchers worldwide—to accelerate the discovery, maturation