Sort by
Refine Your Search
-
of Science and Technology (ITN) which is known for its activities in logistics, visualization and organic electronics. We combine academic height with fruitful collaboration with the surrounding society. The
-
, genetic manipulations, analysis of genomic rearrangements, telomere assays, and RNA sequencing. The activities include literature review, lab working and computational bioinformatics analysis. Your
-
of visualizations and presentations of research findings. The person we need You have graduated at Bachelor’s or Master’s level in machine learning, computer science, mathematics, physics, or a related area that is
-
numerical analysis, computational fluid dynamics, and uncertainty quantification with diverse applications. Our group maintains active collaborations with other divisions at Linköping University and broader
-
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
-
Physicochemical and spectroscopic characterization of substrate performance, including sensitivity, reproducibility, stability, and matrix effects Quantitative analysis of spectroscopic data using multivariate
-
spectrometry, thermal analysis, mechanical testing) Your PhD research will contribute to the development of next-generation bio-based materials from forest resources. Within the GreenPolChem group and WWSC
-
concepts Structure–property relationships in bio-based materials Advanced characterization techniques (e.g. NMR, GPC/SEC, mass spectrometry, thermal analysis, mechanical testing) Your PhD research will
-
image analysis, deep learning as well as mathematics. You have substantial expertise in programming, especially in Python and Matlab. You are independent, meticulous and work efficiently. Since
-
conferences and journals, with experience in one or more of the following areas: mathematical analysis of AI models in terms of correctness of outcomes, neuro-symbolic reasoning in cybersecurity, efficient