177 programming-"the"-"DAAD"-"EURAXESS"-"U"-"UCL"-"RAEGE-Az" PhD positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- Technical University Of Denmark
- Aalborg University
- University of Copenhagen
- DTU Electro
- Graduate School of Arts, Aarhus University
- Aalborg Universitet
- Aarhus University
- Danmarks Tekniske Universitet
- Copenhagen Business School
- Copenhagen Business School , CBS
- Roskilde University
- Technical University of Denmark (DTU)
- Technical University of Denmark - DTU
- Technical University of Denmark;
- 7 more »
- « less
-
Field
-
) or a similar degree with an academic level equivalent to a two-year master's degree in bioinformatics, computational biology, evolutionary genomics, or a related field Proficiency in programming
-
of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a
-
framework to enable iterative improvement and seamless feedback between generative design and predictive modeling. Responsibilities During the PhD program, you are expected to: Research and develop novel
-
mathematics or related field Strong programming skills in python, C, C++ or other similar programming languages Strong communication skills in English, both oral and written The ability to work both
-
agreed upon with the relevant union. The position is a full-time position. The researcher position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You
-
computer programming language is expected. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and
-
for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
-
stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve
-
Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
-
PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
Temporary Job Status Full-time Hours Per Week 37 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within