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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, 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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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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Policies and their architectures - Advanced programming skills What we offer - a well-developed research infrastructure, laboratories and access to shared equipment - an exciting interdisciplinary
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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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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