Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Nature Careers
- Copenhagen Business School
- University of Southern Denmark
- Technical University Of Denmark
- Geological Survey of Denmark and Greenland (GEUS)
- Aarhus University
- Aalborg University
- Aarhus Universitet
- Copenhagen Business School , CBS
- Roskilde University
- University of Copenhagen
- ;
- ; Technical University of Denmark
- University of Copenhagen, Section of Microbiology
- the
- 6 more »
- « less
-
Field
-
modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential
-
. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Statement of experience with scientific coding/development of numerical methods and
-
conducted on qualified candidates for the position. The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with
-
metabolism with a willingness to learn and apply state-of-the-art mass spectrometry techniques, as well as develop or apply coding skills (R/Python) for large-scale data analysis.Your job responsibilities As
-
-study-structure-and-income Excellent and documented experience in sofware engineering and coding skills in deep learning Experience with analyzing biological images. Experience or commitment to generate
-
interdisciplinary collaboration • Excellent written and oral communication skills in English • Experience with register-based research and coding/statistical analyses is an advantage It will be considered
-
also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab. A desire to engage in cross-disciplinary research
-
structured manner. The primary responsibilities will involve analysis of 3D volumetric data, organizing data and code, and programming related to image processing. You will be part of a team of researchers
-
Develop standard code packages and training to allow researchers to conduct statistical analysis and identify trends within datasets. Ensure data integrity and reproducibility, reducing redundant data
-
methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python, MATLAB, R, C++, Julia, potentially HIL. Excellent command of English in speech and writing