Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- France
- Germany
- Sweden
- Portugal
- Denmark
- Belgium
- Switzerland
- Czech
- Canada
- Spain
- Austria
- Norway
- Finland
- Italy
- Australia
- Singapore
- Morocco
- United Arab Emirates
- Estonia
- Hong Kong
- Ireland
- Poland
- Romania
- Japan
- Taiwan
- Brazil
- China
- Croatia
- Cyprus
- Europe
- Greece
- Lithuania
- Luxembourg
- Macau
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Earth Sciences
- Mathematics
- Engineering
- Science
- Environment
- Social Sciences
- Humanities
- Materials Science
- Arts and Literature
- Chemistry
- Business
- Linguistics
- Electrical Engineering
- Design
- Education
- Psychology
- Sports and Recreation
- Physics
- 12 more »
- « less
-
laboratory in the Department of Neurosurgery at the University of Michigan Medical School. Using a combination of in vitro and in vivo modeling, analyses of clinical brain tumors samples and multi-omics
-
inventory; analysing spatial data obtained during fieldwork; creating data visualisations, predictive models and advanced data analyses based on results of analyses of different types of findings; assisting
-
towns and cities as flood peaks, known as Natural Flood Management (NFM). Most research on NFM centered on hydrological modelling and its effectiveness in reducing flood peaks at varying spatial scales
-
), which studies coastal dynamics and sea-level variability across multiple spatial and temporal scales, using laboratory and field experiments, remote sensing, and numerical modelling. The team aims
-
and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
-
include developing foundation models for genome interpretation; creating methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and advancing AI-based frameworks
-
of environmental seismology, an emerging field focused on interpreting seismic signals generated by surface processes. This interdisciplinary PhD project aims to integrate hydraulic measurements, physical models and
-
references.. The Michigan Neuroscience Institute is an inclusive workplace that encourages individuals from diverse backgrounds and with diverse experiences to apply. Please visit: https://medicine.umich.edu
-
and spatial omics integration and latent modeling with scVI for batch correction and label transfer Regulatory genomics and motif analysis using tools from MEME Suite or HOMER. Cloud-native NGS workflow
-
Professorship of Remote Sensing Applications (https://www.asg.ed.tum.de/rsa), Department of Aerospace and Geodesy, TUM School of Engineering and Design, focusses on methodological research on the analysis and