Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
components. This includes statistical analysis of faba bean growth profiles under different management and environmental conditions. The aim of the PhD project is to develop a methodology for detecting stress
-
limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
-
administrative, educational, and legal domains. The successful candidate will become part of the Centre for Machine Learning . The centre is part of the Data Science & Statistics section at the Department
-
understanding of the process, statistics and data analytics shall be applied to link the different conditions to the likelihood of microcracks occurring. The severity of microcracks may also be studied in
-
funding, and wide-reaching societal impact. CPop is also committed to research-based teaching, employing innovative methods to enhance student learning. It oversees a graduate programme in Population
-
) develop and optimize extraction techniques using enzymes in combination with non-thermal technologies such as ultrasound, ohmic heating, and pulsed electric fields, (iii) evaluate the techno-functional
-
Laboratory techniques for sample preparation Analysis of mass spectrometric datasets and statistical calculations Contribute to in vitro analyses Contribute to carrying out animal experiments Contribute
-
to develop comprehensive policy recommendations to reduce disparities in health care access across Denmark. Specifically, the PhD project will focus on the two key areas: Barriers to settlement and retention
-
experience with statistical tools (e.g. in R, MatLab, or Python) are expected. The team at DTU Aqua is highly international and knowing the Danish language is not needed. You must be available for boat-based
-
for empirical statistical analysis, as well as possible experimental designs to validate findings. Empirical setting The research will utilize data from the Danish Innovation Fund, integrated with databases