Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Nature Careers
- University of Southern Denmark
- Aarhus University
- Aalborg University
- University of Copenhagen
- Copenhagen Business School , CBS
- Technical University Of Denmark
- ;
- Aalborg Universitet
- Graduate School of Arts, Aarhus University
- ; Technical University of Denmark
- Copenhagen Business School
- Technical University of Denmark;
- ; University of Cambridge
- Aarhus University;
- European Magnetism Association EMA
- Roskilde University
- University of Oxford
- 9 more »
- « less
-
Field
-
program. The Integrated Ph.D. stipend is open for appointment from 01.09.2025. The position is for 4 years, and the workplace is in Aalborg. Your work tasks An Integrated Ph.D. stipend is available in
-
“Bioactives – Analysis and Application”. As part of this prestigious Alliance PhD program, you will collaborate closely with Queensland University in Australia and the University of Copenhagen in Denmark
-
including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure integrity and life assessment, heating and cooling, renewable energy systems, and modelling and
-
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
-
for the efficient formation of high-value compounds. Advanced NMR methods and computational data analysis will be compounded to devise novel reactions towards pharmaceutical precursors, polymer building blocks and
-
algorithmic aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by
-
DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
structure and function. This includes the integration of experimental data and the rigorous validation of computational models to ensure reliable and interpretable outcomes. Collaborate closely with internal
-
. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self
-
enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer We can offer an inspiring workplace in the Research Group for Foodborne
-
to contribute to a collaborative, interdisciplinary research environment Are eager to learn and explore new ideas at the intersection of ML and optimization Can program efficiently in one or more languages