Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Denmark
- Nature Careers
- Aarhus University
- University of Southern Denmark
- University of Copenhagen
- ;
- Aalborg University
- ; Technical University of Denmark
- ; University of Copenhagen
- ; University of Southern Denmark
- Copenhagen Business School , CBS
- European Magnetism Association EMA
- 2 more »
- « less
-
Field
-
area, and have good written and oral English skills. The assessment of your qualifications will also be made based on previous scientific publications (if any) and relevant work experience. Knowledge
-
to document: knowledge of or experience researching one of the following: artificial intelligence or the sociology of professions in a public sector context an internationally oriented research profile
-
experiments. Oversee data collection, ensuring accuracy, integrity, and confidentiality. Troubleshoot and address challenges arising during experiments. Ensure all experimental procedures comply with ethical
-
with colleagues responsible for downstream AI-based optimization. The ideal candidate has a strong background in computational electromagnetics and photonics, ideally with experience in topology
-
close collaboration with colleagues responsible for downstream AI-based optimization. The ideal candidate has a strong background in computational electromagnetics and photonics, ideally with experience
-
analyses on harvested tissues and biofluids. The postdoc will be responsible for planning the experiments, data acquisition, preparation, analysis, manuscript writing, and other activities for disseminating
-
processes. Ability to troubleshoot problems and optimize experimental setups under real-world conditions. Experience working in interdisciplinary teams with both R&D and engineering tasks. Documented ability
-
available here: https://api.paca.sdu.dk/ . The next phase will require the postdoc to draw from research on climate fiction and related concepts to design living labs experimenting with impactful
-
You have academic qualifications at PhD level, for example within the areas of bioinformatics, machine learning or forensic odontology. We favour experience in computational data analysis, and the
-
experience in scientific writing and publication in peer-reviewed scientific journals Research experience in some of the areas of data science, soil science, digital soil mapping, geostatistics, pedometrics