Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
-
for the efficient formation of high-value compounds. Advanced NMR methods and computational data analysis will be compounded to devise novel reactions towards pharmaceutical precursors, polymer building blocks and
-
scientific projects also involves participation in research meetings with internal and external partners, presentation of data, and preparation of slides for such meetings. The job also includes training
-
about career paths at DTU here . Further information Further information may be obtained from Professor Yifeng Zhang (yifz@dtu.dk), and the section head Wenjing (Angela) Zhang (wenz@dtu.dk). You can read
-
experience is beneficial, a willingness to learn new techniques and a results-driven mindset are most important. The role also includes data management and organization to support the team’s research efforts
-
undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
-
. Approval and 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
-
employment is 1 year. Starting date is 01.10.2025 (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further
-
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
-
- Familiarity with method development, data processing software, and QA systems - Knowledge of ISO17025 accreditation processes - Good English communication skills (written and verbal) - Experience with sample