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to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral
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analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your skills in scientific computing and hyperspectral data processing. You have
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principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see www.larsrohwedder.com for more
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such cases, documentation of the expected graduation date must be provided. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a
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commissioning at installation, the system will continuously recalibrate itself in response to changing operating conditions. Reinforcement learning is envisaged as the primary methodological vehicle, enabling
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. The PhD student is, in close dialogue with their main supervisor, expected to identify and refine their own research focus and develop an original and independent line of research within the field. As part
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. The PhD student is, in close dialogue with their main supervisor, expected to identify and refine their own research focus and develop an original and independent line of research within the field. As part
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or related topics will be considered an advantage, as will familiarity with common tools for hydrological and hydrogeological modelling, but it is not a requirement that you already master specific software
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on machine learning, AI security, and real-time embedded computing for cyber-physical systems, with a strong emphasis on the AI and trustworthiness side of the problem. The main activities include: Designing
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bachelors and masters of science within biomedical engineering, medicine, medicine with industrial specialisation, sports science, musculoskeletal physiotherapy, public health, and clinical health and