80 programming-language-"FEMTO-ST"-"FEMTO-ST" research jobs at Technical University of Denmark
Sort by
Refine Your Search
-
background in thermodynamics and phase behavior of complex mixtures Excellent programming skills (e.g., Python, C++, Fortran, or similar) Experience with COSMO-based methods, including parameterization, model
-
of platform fabrication will be a central aspect that has to be considered. Your primary tasks will be to: plan and execute experimental research design and fabricate micro- and nanoelectrode chips in the DTU
-
. Research-based teaching in GNSS, geodesy, and surveying. The teaching must be conducted in Danish and English at bachelor’s (BSc) and master’s level (MSc) Co-supervision of BSc, MSc, and PhD projects Public
-
for tomography reconstruction and analysis. To perform these tasks, we expect you to have: A strong background in X-ray tomography (synchrotron or lab-based) or other 3D imaging techniques. Solid programming
-
estimation. Performing experiments to investigate synthetic samples, field samples, and samples from other projects in the program. This will require a well-established connection to other projects. Co
-
solid understanding of energy system technologies and economics is also required. Additionally, experience with other programming languages, open-source software development, project management using
-
scanning program and a post-processing program. The software architecture and programming approach for a suitable implementation in a clinical scanner must be described during the project. The clinical
-
. Enthusiasm, responsibility, and excellent collaboration skills. Keen on generating high-quality data. Strong oral and written skills in English. Experience working in biological systems. Specific
-
equivalent). Other qualifications and competences include: Experience with bioinformatics Experience with mathematical modelling and programming, including source attribution modelling of foodborne pathogens
-
in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite