206 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Aarhus University
- University of Copenhagen
- Aalborg University
- Copenhagen Business School
- Aalborg Universitet
- Technical University of Denmark (DTU)
- Technical University Of Denmark
- University of Southern Denmark (SDU)
- Aarhus University (AU)
- Geological Survey of Denmark and Greenland (GEUS)
- Roskilde University
- Aarhus University;
- Technical University of Denmark;
- University of Southern Denmark
- ;
- Graduate School of Arts, Aarhus University
- RegionH
- TEGNOLOGY APS
- Technical University of Denmark
- 9 more »
- « less
-
Field
-
, visualizing data, and writing clean & reproducible code) Experience with natural language processing tasks (in R or Python - familiarity with common tasks such as sentiment analysis, topic modelling
-
HospitalCountryDenmarkCityHillerødPostal Code3400StreetDyrehavevej 29Geofield Contact City Hillerød Website https://www.regionh.dk/ https://virusdetective.eu/ Street Kongens vænge 2 Postal Code 3400 E-Mail caroline.klint.johannesen
-
26Geofield Contact City Copenhagen Website https://food.ku.dk/english/ Street Rolighedsvej 26 Postal Code 1958 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
-
a SU PhD scholarship is that you are enrolled as a PhD student at the Graduate School at Arts. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research
-
research and teaching. It hosts several research groups in pure and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https
-
available at https://www.cbs.dk/en/about-cbs/jobs-cbs . Application Applications must be sent via the electronic recruitment system, using the link above, before the deadline on 7 October 2026
-
ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk
-
of CopenhagenCountryDenmarkState/ProvinceCopenhagenCityCopenhagenPostal Code1958StreetRolighedsvej 26Geofield Contact City Copenhagen Website https://food.ku.dk/english/ Street Rolighedsvej 26 Postal Code 1959 STATUS: EXPIRED X
-
. The PhD student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project
-
about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/. As an equal opportunity employer, the University of Copenhagen invites applications from all qualified candidates