Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see
-
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 leading technical university globally recognized for the excellence
-
Solid programming experience, preferably in Python Familiarity with structured data handling (e.g., SQL) and scientific workflows Documented experience with ontology development, knowledge graphs, and
-
: Develop and refine experimental tasks. Manage collaborations with external partners. Plan and execute analysis strategies. Work with large datasets and apply advanced analytical methods. Contribute to both
-
Development: Collaborate with our team to develop compelling and competitive grant applications to grant programs such as Horizon Europe, LIFE, CETPartnership or others depending on availability and relevance
-
at Dartmouth College (USA). To follow the DTU program, you will be granted a unique study environment, together with several PhDs and Post Docs in related fields. Your primary tasks will be to improve
-
. A dedicated full-time programme manager supports the course's coordination and delivery. Furthermore, you will facilitate and maintain meaningful collaborations with industry partners, industry
-
general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education
-
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 . Assessment
-
, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit