Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
optimization of SERS substrates, Raman measurement, data analysis, and validation of results with reference methods such as high performance liquid chromatography (HPLC). You are expected to have a solid
-
large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. The PhD project could aim at the following issues: Improved Funding Decisions: How can we make
-
PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
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 rules for the PhD education
-
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
-
you will break new ground at the absolute forefront of large-scale thermal energy storage. Responsibilities and qualifications Your overall focus will be to strengthen the department’s competences
-
to anchor the research in practical challenges and opportunities emerging from the clean energy transition. We are looking for ambitious and curious PhD candidates driven by big questions in economics
-
learning (RL), which is data-driven, are two powerful control techniques. MPC techniques are well-established, while RL techniques are gaining popularity due to increasingly available sensor and meter
-
no footprint on the seabed. Boulder reefs and concrete reefs will be deployed during the spring 2025 and surveyed afterwards. Pre-reef data were collected in 2023 and are also available for your project. Both
-
energy storage materials, particularly in Li-ion batteries will be considered as a big advantage. Excellent skills in oral and written English are required. The applicant must be interested in working in
-
language processing approaches to analyse large-scale textual data from scientific publications, patents, industry documents, and policy sources. The work includes creating reproducible workflows for processing