Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
dynamic Electrochemical Impedance Spectroscopy (EIS), combining advanced measurement technology with modelling and data-driven analysis. A key component is a novel measurement approach that enables high
-
data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision
-
, modelling, and understanding the function of the nervous system. The field encompasses hardware-oriented instrumentation, signal and image processing, data-driven and physics-based models, as well as clinical
-
. The candidate should have strong mathematical skills and experience in machine learning, programming, and the analysis of visual data. Furthermore, you are able to work with a long-term perspective and drive
-
well as the efficacy of the live rotavirus vaccines. In this project we will combine evolutionary analyses, historical data, and functional organoid studies in a multidisciplinary approach. By performing analysis
-
of habitat diversity in agricultural environments as a proxy for potential biodiversity. You will plan and conduct field measurements and perform data analysis in a large interdisciplinary project group
-
, genetic manipulations, analysis of genomic rearrangements, telomere assays, and RNA sequencing. The activities include literature review, lab working and computational bioinformatics analysis. Your
-
numerical analysis, computational fluid dynamics, and uncertainty quantification with diverse applications. Our group maintains active collaborations with other divisions at Linköping University and broader
-
3 Apr 2026 Job Information Organisation/Company Linköping University Research Field Chemistry » Inorganic chemistry Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026
-
Physicochemical and spectroscopic characterization of substrate performance, including sensitivity, reproducibility, stability, and matrix effects Quantitative analysis of spectroscopic data using multivariate