Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
brilliant minds in our journey. See our publications and projects here . DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics
-
a unique and internationally recognized academic department with around 440 employees and 10 research sections spanning the science disciplines mathematics, statistics, computer science, and
-
academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation
-
. Methodologically, candidates should hold strong quantitative skills and excellent command of statistical programming languages (e.g., Stata or R) and have experience with using research designs for causal inference
-
, and judgment and decision making Excellent research skills, including advanced statistical and methodological knowledge (experience with programming of experiments, statistical methods such as
-
the behaviour of fishes, particularly in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab, Python) are expected as is experience in planning and executing fieldwork. Experience
-
statistical tools Preferable experience with advisory work Who we are The Department of Ecoscience is engaged in research programs and advisory work covering the major biological subdisciplines. We conduct
-
ingredients Experience with producing feed on (lab. scale) extruder Experience, accuracy and patience for laboratory work Analytical skills and experience in statistical analysis Strong written and oral
-
in journals/conferences. You must have a PhD degree in transport, mathematics, statistics, computer science, or a related discipline. We are looking for an ambitious, self-organized individual with
-
interactions and experience with surface plasmon resonance (SPR) technology is considered an asset. You are efficient and solution oriented A proficiency in statistical analysis A proven track record of