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solid experience in machine learning (including deep learning), ideally in the context of computer vision and, more broadly, a proven track record in scientific programming (GitHub Repository or
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conditions, with drone inspection in environments such as Greenland as the main application. The research will focus on one or more of the following areas. - Design, characterisation and calibration of
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-quality supervision, and room to grow, both as a researcher and as a person. In the coming years, we see the application of AI in the Nordic region, especially, Sweden, Finland and Norway, to contribute
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a merit if the doctoral degree was awarded no more than three years before the application deadline. Candidates who were awarded their doctoral degree earlier may also be considered if there are
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/hydrology as well as experience of sensor-based monitoring, sampling, statistics, machine learning, thermodynamics (e.g. heat transfer processes) and programming are meritorious. Other important skills are
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areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level: 100%. Commencement
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programming or quantitative modelling, for example using Python, R or MATLAB. You should have good analytical skills, be able to integrate information from different fields, work independently and
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. Experience in experimental cell biology, programming, biophysics, image analysis, genomics or data analysis is considered meritorious. The project will be conducted in a multidisciplinary research
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requirements must be fulfilled no later than the time of admission. They do not, however, need to be fulfilled when the application is submitted. Specific entry requirements Admission to doctoral
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data Experience with the programming language R or a similar language Experience performing ELISA assays Documented excellent scientific English language skills Strong ability to work independently