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project researchers You will report to the Head of Department. Your competences You have academic qualifications at PhD level, for example within the following areas: Medical imaging, biomedical engineering
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level, e.g. in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, e.g. in medical image-based
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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(2023)). Work at these facilities will be combined with research in our state of the art femtosecond laser labs. Your profile Applicants should hold a PhD in Physics or Chemistry or related field
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in this area. Specifically, this means being able to understand statistical tools (instead of only being able to apply them). For example, in R, the function lm() can be used to regress an outcome Y
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of Chemistry, and the group of Prof. Hobolth at the Department of Mathematics. A second postdoc with expertise in stochastic processes and statistical methods will be part of the project and you are expected
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, which makes it ideal for ecological simulations where precise mathematical descriptions of key processes are lacking but data for training are available. The MCL methodology will be applied on critical
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the project leader, Christoffer Basse Eriksen. The position comes with available funding for archival trips and conference participation. Qualifications Employment as a postdoc requires qualifications at PhD
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, the developed models will be deployed in realistic scenarios, including turbulent flows over complex terrain, within built environments, and in wind farms. The project integrates fundamental applied mathematics
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge