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science, geoscience, physics, engineering or a related discipline. Experience with quantitative data analysis and scientific programming, preferably in Python is required. Experience with
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background in thermodynamics, transport phenomena, and process modelling and computer programming with documented experience in developing and applying unit operation and flowsheet models for chemical
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communication skills. Ability to work independently and in an international academic environment. Department of Environmental Science The Department of Environmental Science is an interdisciplinary
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through collaboration with other departments and supervising student projects and externally through academic publications and different industrial outreach activities The candidate
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visual perception. Good programming (Python) skills are required along with a good understanding of empirical methods and ways to connect empirical findings with model behavior. The position also
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programming skills (e.g. Python, Matlab). Ability to analyse spatial (GIS) and large operational datasets. Interest in interdisciplinary work involving computer science. Strong written and verbal English
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Experience with programming in Python, R, or similar languages Background in machine learning or deep learning methods Knowledge of genomics, transcriptomics, evolutionary biology, and plant biology is an
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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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level, which is in Danish). Scientific computing, possibly with different programming languages (e.g., Python, MATLAB/Simulink). Moreover, the candidate shall demonstrate the following experiences
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programming in Python, R, or similar languages Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to