Sort by
Refine Your Search
-
DTU Compute is a unique and internationally recognized academic department with approx. 400 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science
-
recognized academic department with around 440 employees and 10 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and
-
assessment Epidemiology Statistical analysis in R Place of employment The place of employment is at Department of Public Health (Øster Farimagsgade 5, København) University of Copenhagen. We offer creative and
-
biology, statistics, mathematics, computer science or related topics Advanced knowledge of Python and its scientific libraries and data stack (numpy, pandas, scipy, scikit-learn, pytorch, etc.) Proficiency
-
analysis and maintenance, and programming skills (e.g., R statistical software, Arduino) are benefits. Fluency in written and spoken English is a requirement. The most important personal qualifications
-
unique academic environment spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research of high international standard that is at the forefront with
-
). DynSys conducts research and provides teaching in the fields of mathematics, statistics, deterministic and stochastic modeling, optimization, forecasting and control. The section is very successful in
-
of bioparts designs for low and high throughput implementation. Statistical analysis of internal and public datasets (e.g. genomics, transcriptomics, proteomics, metabolomics). Processing, visualization of NGS
-
16 Feb 2024 Job Information Organisation/Company Aarhus University Research Field Management sciences » Other Researcher Profile First Stage Researcher (R1) Country Denmark Application Deadline 27 Feb 2024 - 23:59 (Europe/Copenhagen) Type of Contract Permanent Job Status Full-time Is the job...
-
relevant PhD. The ideal candidate is able to bridge technology, innovation and entrepreneurship and has knowledge, skills and competences in some of the areas: • Big data, data analytics, statistical methods