Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
PhD fellowships in "Parallel functional programming” and"Systems-level language-based security" Department of Computer Science, Faculty of SCIENCE, University of Copenhagen The section
-
in food microbiology, fermentation and/or bioinformatics Good language skills (especially English) *************************************************************************** Application and Assessment
-
: The deadline for applications is 30th, March, 2024, 23:59 GMT +1. Please include: Motivated letter (max. one page); Curriculum vitae including information about your education, experience, language skills and
-
interest in practice-oriented philosophy of scienceApplicants should have good English skills, both written and spoken. Danish language skills are considered an advantage. It is desirable to have basic
-
of Cellular and Molecular Medicine (https://icmm.ku.dk/english/ ). The working language in the CCS is English. Our group and research The Miller group (https://icmm.ku.dk/english/research-groups/miller-group
-
qualifications relevant to the PhD project Relevant publications Relevant work experience Other relevant professional activities Curious mind-set with a strong interest in heavy-ion physics Good language skills
-
-assisted security,language-based security and secure compilation, IoT, cryptographic and security engineering, malicious software analysis and prevention, and similar topics. We are particularly encouraging
-
Relevant work experience Other relevant professional activities Curious mind-set with a strong interest in enzymology, protein structure and function Good language skills Application and Assessment Procedure
-
PhD project/State which PhD project you are applying for Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position Original
-
and spoken English is required. Knowledge of a Scandinavian language is an advantage. Demonstrated experience with relevant theories and methods for studies of innovation and sustainability transitions