Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of entrepreneurship, sociology, and rural development in an international and interdisciplinary research project. As our new PhD student, you will play a central role in: Collecting qualitative data from new and
-
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 requirements and the general planning
-
at www.es.aau.dk. Your work tasks This PhD project is part of a bigger Novo Nordisk Foundation (NNF) New Exploratory Research and Discovery grant entitled: Information Theoretic Disentanglement of the Exceptional
-
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 The assessment
-
with leading Danish and European companies, as well as international academic partners. The AI4OR group addresses complex, high-impact problems requiring advanced modelling, data analysis, and
-
behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
-
. For more information about the department, please visit the website. Be part of a large-scale international project We are looking for a talented and motivated PhD student for the EPHEMERAL research project
-
Master's program in Environmental Engineering and is involved in both the Bachelor's and Master's programs in Energy Technology and Integrated Design and Sustainable Product Development. For more information
-
PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
. 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 leading technical university globally
-
porous carbon electrodes developed in the network. You will leverage advanced data analysis methods such as Distribution of Diffusion Times to obtain insight into mass transfer and microstructural effects