Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
environments Contribute to the design, implementation and testing of a novel AUV concept Carry out experimental work with AUVs in real marine environments for data collection and validation of developed
-
. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
-
achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing
-
such 6-15 GHz into use and developing the needed radio resource management innovations to unleash its full performance potential. This includes integrated scheduling, link adaption, MIMO adaption
-
will conduct sampling, and apply experimental methods such as metagenomics and metatranscriptomics, linked to soil and emission data to help create predictive models. Within a broader framework, your
-
conceptual framework linking nanoscale features to macroscopic adsorption efficiency. Generate and curate high-quality datasets to support data-driven materials optimization and future integration with AI
-
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 DTU's
-
Job Description The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position on the topic of “Automation of tool wear measurement and data
-
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 requirements and the
-
AOP networks. The project will be linked to activities in other ongoing projects in the Ecotoxicology group including PARC (EU, Partnership for the Assessment of Risks from Chemicals) and NeXED (Network