76 data-visualization-analysis Postdoctoral positions at Technical University of Denmark
Sort by
Refine Your Search
-
data management Knowledge of material flow analysis, life cycle assessment modeling, social-LCA, and/or life cycle cost modeling Concepts of circular economy, climate mitigation models, planetary
-
methods such as gas chromatography, Karl-Fischer (for water), titration methods for TAN/CAN, elemental analysis etc. Synthesis and characterization of catalysts. Writing of scientific papers and attending
-
use your skills to answer fundamental biological questions in health and disease. The successful candidate is expected to leverage their skills in proteomics and computational analysis to interrogate
-
conditions including psoriasis, hand eczema, and actinic keratosis through advanced stratum corneum nanotexture analysis. We are looking for an exceptional candidate with expertise in instrumentation
-
Designing and performing immunochemical analyses Bioinformatic analysis of data Data analysis and interpretation of results Scientific dissemination. You will work in close collaboration with other
-
extraction) that can be miniaturized and integrated into portable devices. Perform SERS measurements and data analysis of SERS data (e.g., using machine learning). Develop, test and apply new fiber-based SERS
-
process modelling, experimental data, model parameters and modelling approaches in order to optimize design, analysis and operation of complete capture processes. The goal of the project is to develop
-
characterisation of molecular building blocks and templates; enzymatic synthesis and analysis of dynamic systems of oligosaccharides; biophysical studies using spectroscopy (NMR, UV-Vis, fluorescence and CD
-
of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Centre. DTU Biosustain utilizes these advances for microbial cell
-
with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological