Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Aarhus University
- Nature Careers
- University of Southern Denmark
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Technical University Of Denmark
- Aarhus University;
- Graduate School of Arts, Aarhus University
- University of Southern Denmark;
- ;
- Danmarks Tekniske Universitet
- Technical University of Denmark;
- COPENHAGEN BUSINESS SCHOOL
- European Magnetism Association EMA
- Geological Survey of Denmark and Greenland (GEUS)
- NVIDIA Denmark
- 9 more »
- « less
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Chemistry
- Mathematics
- Social Sciences
- Science
- Environment
- Materials Science
- Business
- Humanities
- Arts and Literature
- Electrical Engineering
- Psychology
- Linguistics
- Earth Sciences
- Education
- Philosophy
- Physics
- Sports and Recreation
- Statistics
- 13 more »
- « less
-
Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, at the time of admission into this PhD program. Students currently enrolled in Master’s programs can apply, provided
-
for the production of Physical Unclonable Functions. The post may also include performance of other duties. Further information on the Department is linked at www.chem.ku.dk. Inquiries about the position can be made
-
Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
-
highly skilled employees. More information can be found here . What we offer Work with advanced analysis equipment An exciting interdisciplinary environment with close collaboration between laboratory
-
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
-
learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
-
development, supervision, and external funding initiatives. What we expect Applicants must hold a PhD in Energy Informatics or in a closely related field such as Artificial Intelligence, Data Science, Computer
-
Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment
-
registration number) – in this case, the CPR number must be crossed out. Applicants are encouraged to read the information "How to apply" before applying. If you experience technical problems when uploading
-
: Establish and develop experimental protocols and pipelines and implement data management compliance. Presentation of your work in various meetings (locally at the department, national and international