Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
screened, in relation to international research and innovation collaboration, as part of the employment process at the University of Copenhagen. The application, in English, must be submitted electronically
-
). Knowledge about databases and data standardisation/ontologies (SQL, NoSQL, Ontologies, etc.). Other programming languages would be an advantage. Salary and terms of employment The appointment will be based
-
Knowledge of the most common musical terms and practices Mastering relevant programming language(s) (such as Python or R) for processing large-scale, quantitative research data An international research
-
evaluation, stigma, and CSR Experience with research dissemination High-level English Language proficiency Willingness to reside in Denmark and engage regularly with the CBS research community Experience
-
. CFA is currently studying how the model influence research-industry collaboration in two programs, Plant2Food and ODIN (Open Innovation Discovery Network) . As part of a small interdisciplinary project
-
qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering. Hardware design in a hardware description language such as Chisel, VDHL, or Verilog
-
highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a department, we value having a pleasant and informal working
-
industrial partners. The working language is English, and we pride ourselves on a diverse, inclusive, and inspiring workplace that fosters personal and professional growth. What we expect We are looking for a
-
considered an asset in these positions. Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab
-
and written English, and an ability to produce state-of-the art social-science research. Experience with quantitative analysis (including work with publication and research grant data) and designing and