Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Czech Technical University in Prague
- Faculty of Science, Charles University
- MASARYK UNIVERSITY
- Mikrobiologický ústav AV ČR, v.v.i.
- Charles University, Faculty of Mathematics and Physics
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Institute of Molecular Genetics of the Czech Academy of Sciences
- Masaryk University - Faculty of Arts
- Palacky University Olomouc
- UCT Prague
-
Field
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 6 hours ago
are extending our team with a new position to drive development of complex distributed services focused on easy access to AI models lifecycle management, compute workflows and distributed data management across
-
microbial species distributions respond to ongoing climate change. The four-year project will build on time series data on microbial biodiversity changes across large temporal and geographical extents, based
-
to identify global patterns of fungal species distribution. Within the project, the person will be involved in the study of the structure of soil fungal communities using our in-house global databases of fungal
-
to climate change and variability Hydrological processes in organosols and peat-affected soils Modeling Hydrological Extremes Using Machine Learning Spatial and time distribution of precipitation within
-
research and applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new
-
: Mathematical modeling and statistical data analysis. Evaluating data as potential predictors explaining the spatial distribution of archaeological or epigraphic finds (e.g., analysis of variance, correlation
-
analysing protocols for entanglement distribution using eletrooptic interfaces. The successful candidate will work closely with other team members and our external collaborators including experimental teams
-
activity and identify factors responsible for specific distribution of cytidine deamination and high error rate of DNA repair in SHM-targeted regions. Our study will provide a novel insight into the
-
changes in the statistical distribution of selected climatic variables. Consequences of revealed changes for the occurrence of extreme climatic events will also be investigated. The research will focus
-
MXenes with engineered morphologies and to understand how these structural variations affect surface chemistry, defect distribution, and overall functional properties. This project offers an exciting