Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
. Qualifications requirements Applicants should hold a PhD degree in data science, statistics, applied mathematics, or another related field with a strong statistical and scientific programming background. The ideal
-
statistical modeling and methods development to experimental hypothesis evaluation and clinical translation. There are also close collaborations with the wet-lab and clinical groups at the department ( https
-
disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions
-
research via data collection and cleaning, calculations, model implementation and information retrieval. Ideal profile We are looking for a student who has taken courses in Financial Economics, Mathematics
-
), environmental economics, environmental social science, and environmental geography. Expertise within the Group of Atmospheric Modelling includes: Atmospheric physics and chemistry, mathematical and numerical
-
, Computer Science, Applied Mathematics and Statistics, or a closely related field. Programming proficiency in at least one scientific language, preferably Python or Julia. Strong background in operational research
-
Vesteghem, [email protected] , tel.+45 6166 7681. Qualifications You should hold a PhD degree in computer science, statistics, physics, mathematics, engineering, or a field of science relating to data
-
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
-
techniques. Located in the Intelligent Transportation Systems group in DTU (http://mlsm.man.dtu.dk ), this role is ideal for candidates with a PhD in simulation, mathematical modelling, machine learning, and
-
, 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