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Kristoffer Negendahl. We offer an opportunity to develop expertise in various domains, such as advanced building physics simulation techniques, machine learning approaches and statistical modeling
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recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and
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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Nurse Scheduling – DTU Management Kgs. Lyngby, Denmark Be the First to Apply Job Description Do you want to shape the future of healthcare in the era of digitalization with a focus on scientific research? Then we have the...
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catalogue signature whistles for new populations, and implement statistical analysis for mark-recapture estimates of population density. The successful applicant will be based out of the Section for Marine
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unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct
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laboratory work and field work. Analytical skills and experience in statistical analysis. Strong written and oral communication skills in English. Ability to work independently and be flexible. Ability
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this project you will learn and develop experimental and statistical methods for small hearables and their millimetre and sub-millimetre scale components. Page PhD scholarship in Machine Learning in IoT Edge
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psychology, or related topics. Background in behavioral economics and experience with conducting behavioral economics experiments. Good skills in econometric and data management (with statistical software like
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or in a related quantitative field (e.g. Mathematics, Physics, Statistics), with documented experience in analysing, interpreting bulk and single-cell sequencing datasets. Prior experience with data
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investigating potential vaccination strategies for poultry. Methods from classical statistics, spatial statistics, machine learning and simulation modelling may be used as necessary to meet the objectives