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Security”. The postdocs will conduct research on program analysis within the Programming Languages, Logic, and Software Security research group at Aarhus University. The focus of the positions will be in
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programming languages and evaluated on both real-world bugs and code modified by AI coding assistants. The broader aim is to determine when code contains enough information to support its own repair and when
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programming, preferably dynamic web-programming demonstrate proven scientific excellence be able to work both independently and collaboratively while contributing creatively in refining project
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experience and capability in handling quantitative data and programming. If you already have used data-driven computational methods to model cognitive or behavioural change in any substantive domain, that
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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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: Outstanding scientific programming skills (Python, PyTorch/JAX) with a proven track record of developing, debugging, and scaling complex RL pipelines or custom simulation environments. Clean public
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-stationary environments. Implementation Expertise: Outstanding scientific programming skills (Python, PyTorch/JAX) with a proven track record of developing, debugging, and scaling deep generative
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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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species distribution models, joint/hierarchical community models, dynamic vegetation models, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and
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communication skills Experience with all-atom and/or coarse-grained molecular simulations Programming skills and experience working in a Linux environment Candidates with backgrounds in: Physics Physical