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involves software development, measurements using local and large international facilities, and a keen eye on developing relations between local order and material properties. The candidate must have a
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one first-author publication, accepted or submitted Experience with machine learning is a plus (e.g., Tensorflow/Keras/PyTorch). Experience with software containers and/or NextFlow is a plus
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
-disciplinary analysis, modeling, and development of continuous improvement loops that advice researchers of possible solution pathways. At AU, a digital twin platform software called the Digital Twin as a
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-disciplinary analysis, modeling, and development of continuous improvement loops that advice researchers of possible solution pathways. At AU, a digital twin platform software called the Digital Twin as a
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, software developers, and data scientists to ensure practical applicability of the developed infrastructure Supervision of BSc and MSc student projects Disseminating your work through peer-reviewed
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools
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. Experience with safety-critical control systems. Experience in programming and developing maintainable software. Furthermore, the successful candidates are expected to: Have excellent knowledge of English
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in collaboration with international research and industrial partners. The position requires software development within the topics of navigation, sensor fusion, Kalman filtering and gravity field
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, or reinforcement learning Proficiency in Python and contemporary software ecosystem for optimization, dada management, and API development Experience with teaching and supervision Experience with IoT, edge computing
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-reviewed journals Experience with one or more scripting language (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can biologically interpret results and relate to breeding decision making