Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Denmark
- Nature Careers
- University of Southern Denmark
- Aarhus University
- 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
-
, electrical engineering and computer science is important. It will be relevant to have deep experience with at least one of the following areas: Construction engineering and project management, incl. lean and
-
confirmation letter from your supervisor that you are expected to finish in time before the start date of the Post. Doc. position. Previous publications and relevant work experience will be included in
-
related field Experience with Earth System or biogeochemical modelling Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling A strong interest in
-
interest in pursuing applied research in computer vision and deep learning with a focus on wind energy application. Proven experience with computer vision tool/software development using Python and/or Matlab
-
with experience in one of the following directions: Analysis of meta-omics data sets, microbial physiology and cultivation, enzyme biochemistry or activity-based microscopy techniques (e.g. BONCAT
-
, you must hold a PhD degree in analytical chemistry, chemical engineering, biomedical engineering or other related disciplines. Experience in SERS and SERS data analysis. Experience in sample preparation
-
architecture, Design experiments, collect data, and validate ideas in collaboration with the broader engineering team. Profile and requirements The candidate will participate in research and development
-
background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
-
background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
-
a good knowledge of statistical mechanics, good English communication skills and experience with all-atom or coarse-grained molecular simulations. The candidate should be comfortable with programming