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, epidemiology, public health, or a closely related field. Experience in field epidemiology, data collection, management, and statistical analysis. Proficiency in statistical software (e.g., R, GIS, Python) and
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, Statistics, or a related field, and with the interest and ambition to carry out a PhD study within the transport science domain. The successful applicant will work on research focused on the fleet replacement
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large datasets acquired under challenging conditions. This allows us to gain statistically relevant data and map out the influence of external parameters while working under relevant conditions. In situ
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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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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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unique and internationally recognized academic department with 433 employees and 10 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct