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is an advantage. Experience with programming (e.g., R, Python) and statistical analysis is highly desirable. Motivation to work in a collaborative, interdisciplinary research environment and good
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programming experience in one or more languages such as Python, R, or MATLAB. Experience working with marine / environmental observation systems, sensor data, and / or remote sensing. Experience handling large
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systems, large language models, agentic AI, or scientific software development, especially in industry or research settings. Strong software engineering skills, proficiency in Python programming, experience
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and ability to communicate clearly Merits include: Knowledge of LLMs, deep learning, and Python programming Knowledge of power electronics Experience in modelling, simulation, and experimental work In
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of the following: A solid foundation in programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML
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analytical techniques affinity with numerical modelling (Python, R, Aspect) excellent ability to communicate in both written and spoken English good social skills. As a university, we strive for equal
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programming skills in Python; initial experience with machine learning frameworks such as PyTorch or TensorFlow Initial practical experience from a master's thesis, study projects, internships, or open-source
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and simulation tools such as: MATLAB Python Engineering Equation Solver Aspen Plus TRNSYS A solid foundation in thermodynamics, process modelling, programming or energy systems Excellent written and
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), especially for reactions on surfaces Hands-on experience with high-performance computing (HPC) environments, coding/scripting (Python, Bash), and version control (Git) Strong command of written and spoken
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Holocene lowlands, and translation them into subsurface maps, sections, and schematizations; Proficiency in numerical groundwater modelling, including the use of coding (e.g. Python) and incorporation