Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
-
for the optimal candidate later dates may be negotiated. You can read more about career paths at DTU here . Further information For further information about the research at SurfCat at the Department of Physics
-
workflow using big data and data science. The Analytics team is part of the Biofoundry and is providing reliable, accurate and high-throughput analytical services by means of state-of-the-art analytical
-
researchers and accompanying family members, including a relocation service and an AU Expat Partner Programme . You can also find information about the taxation aspects of international researchers’ employment
-
and a good grasp of research designs and methods. For more information, see the complete job advertisement on the SDU job portal via the 'Apply' button above. Application deadline: 22 March 2026
-
analysis to extract information on atomic dynamics from image series. Investigate molecular adsorption, surface reconstruction and site-dependent reactivity at the single-atom level Understanding of atomic
-
barriers and facilitators of prevention programs. The ideal candidate has a background in or experience with one or more of the following topics and areas: Survey methodology / Survey data analysis
-
research projects, from initial conception and design through to completion. Communicate research results: presenting data at national and international conferences and meetings, writing reports and
-
programming. The candidate must be independent and fluent in English both oral and written. The position is for a PhD student under the 5 plus 3 program, read more here . For more information about the position
-
absorption, desorption, and overall process efficiency of a mini-pilot carbon capture plant Compilation, processing, and interpretation of experimental data to identify trends and improvement opportunities