406 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" research jobs at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
. These results will be used to apply the concept of odor guidelines in order to potentially develop information for the further development of the odor guideline concept. The tasks include in detail: Design and
-
neurodegeneration both within as well as across -omics modalities, leveraging both in house as well as public databases. Expertise in the data analysis of one of the modalities that we will use in this project
-
or device prototyping Experience with quantitative measurements and data analysis Ability to work independently, keep clean documentation, and deliver to milestones Background in thermoelectrics, sensors
-
research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and
-
engineering, analytical chemistry, and computational methods for analyzing sequence information and molecular structures is required to perform research tasks A background in food science or food technology is
-
/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
-
various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
-
description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
-
to the faculty’s departments. Consequently, your employment will as of that date be with a department. Contact information For further information, please contact: Professor Troels Skrydstrup, +45 28 99 21 32, ts
-
within the project AI4TECSWriting a doctoral dissertation in computer sciencePublishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and