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policy of parallel language use. International staff are encouraged, with support from the university, to learn Danish during their employment in order to support their integration into the workplace
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Aalborg University | Department of Science and Technology, Gauteng | South Africa | about 21 hours ago
background and orientation, is encouraged to apply for the position. Aalborg University has a policy of parallel language use. International staff are encouraged, with support from the university, to
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involve scientific programming, analysis and documentation of results, and dissemination through peer-reviewed publications and international conferences. The position is offered within the Center for
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, regardless of personal background and orientation, is encouraged to apply for the position. Aalborg University has a policy of parallel language use. The successful applicant is expected, with support from
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systems in practice. You are not only interested in theory, but also in designing, building, and proving that systems work in real life. You combine modelling and programming abilities with hands on
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products and the bioeconomy in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python
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scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data analysis is an advantage but is not required. We welcome applicants who
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programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental understanding of energy-conversion systems, thermodynamics, electrical engineering, heat and mass
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Aalborg University | Witwatersrand Native Labour Association Dam, Mpumalanga | South Africa | about 2 months ago
engineering or a closely related field. You are expected to have experience with data analysis in a clinical context, as well as programming skills in R or Python and familiarity with command-line tools
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machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph representation learning. Programming skills (e.g., Python) and experience with deep learning