Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results
-
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
-
differentiation pathways are influenced by different microenvironments. We use state-of-the-art single-cell data generation combined with computational analysis to establish principles of blood lineage
-
scenarios). Written and spoken language proficiency in English Knowledge on environmental system analysis, industrial ecology, or similar expertise. Ability to work in an international multidisciplinary
-
, statistics, economics, biology, physics, or any other quantitative science. Knowledge of/or strong interest in population studies and formal demographic methods Experience in statistical analysis, and/or
-
for managing End-of-Life (EOL) products, decision-making models for recovering, refurbishing, and reusing components from returned products, creating product and component traceability, effective disassembly
-
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
-
particles and water molecules interact to form clouds. The experiments will be complemented with off-line chemical analysis and molecular modelling with collaborating groups in C3. The position will focus
-
and interest in functional analysis of proteins. Motivation and strong analytical and organizational skills. Strong communication and collaborative skills. Proficiency in spoken and written English. We
-
ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using deep learning