-
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
-
methods and techniques to study and characterize sound and vibration on the millimetre and sub-millimetre scale as well as statistical methods to evaluate metrological aspects such as reproducibility
-
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
-
theory and practice. Experience in laboratory work and field work. Analytical skills and experience in statistical analysis. Strong written and oral communication skills in English. Ability to work
-
econometric and data management (with statistical software like Stata, SAS, Python, or other relevant software). Ability to translate observed behavioral barriers into testable behavioral solutions. Interest
-
, Biostatistics 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
-
range of mathematical disciplines and has three study programmes: mathematics(including a specialization in statistics at the master level), mathematical economics, and mathematics-technology. The
-
statistical methods for small hearables and their millimetre and sub-millimetre scale components. See More Jobs Page PhD scholarship in Machine Learning in IoT Edge Devices – DTU Electro - DTU Career Site
-
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
-
and using mathematical and statistical models on marine resources. The scholarship is part of a project financed by the EHFAF program. The project will be carried out at DTU Aqua in collaboration