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description above and upload it as a PDF in the application. Qualifications and specific competences Applicants for the PhD position should (expect to) have an MSc degree in a computational statistical field
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the statistical design of experiments, the analysis of the fermented materials by physico-chemical methods(LC-MS, NMR) and specific functional assays, as well as the assessment of the beneficial effect
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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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Preferable knowledge of statistical and machine learning methods You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree
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include: Create a digitalized platform for sustainable lifestyles, bringing together the individualized household data from Danish statistics on household consumption and spending, including energy
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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
experience in field, database and GIS work on biodiversity and ecosystem processes, such as ecohydrology, nutrient dynamics and carbon pools, as well as statistical modelling will be considered assets.Fluency
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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