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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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The candidate should have experience with hydraulics, hydrology or urban drainage. Furthermore, excellent skills within mathematics, statistics, programming (Python, Matlab or other languages), and geographical
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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