Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- France
- Germany
- Sweden
- Portugal
- Denmark
- Belgium
- Switzerland
- Spain
- Canada
- Czech
- Austria
- Finland
- Norway
- Australia
- Italy
- Ireland
- Romania
- Singapore
- United Arab Emirates
- Morocco
- Poland
- Estonia
- Hong Kong
- Japan
- Taiwan
- Brazil
- China
- Croatia
- Cyprus
- Europe
- Greece
- Lithuania
- Luxembourg
- Macau
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Earth Sciences
- Engineering
- Science
- Mathematics
- Environment
- Materials Science
- Humanities
- Social Sciences
- Arts and Literature
- Chemistry
- Business
- Linguistics
- Electrical Engineering
- Psychology
- Design
- Education
- Physics
- Sports and Recreation
- 12 more »
- « less
-
transfer; spatial neighborhood/domain analysis; multi‑omic modeling for RNA+protein where applicable. Pipeline automation & reproducibility – 10% Implement/maintain Snakemake/Nextflow workflows with
-
mortality will occur. A second coarser-resolution model will be developed over larger spatial scales using different data sets. The postdoctoral fellow will be responsible for analyzing the data sets
-
geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
-
, enabling systematic and efficient exploration using modeling and simulation tools.For the full details please check: https://workingat.vu.nl/vacancies/phd-in-reconfigurable-spatial-accelerators
-
have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
-
Commission we are looking for a Phd candidate to analyze urban trends. Using detailed spatial data, you will analyze changes in the physical manifestation of cities. So, how does the urban area develop because
-
single-cell atlases with spatial transcriptomics to understand signaling pathways and gene-regulatory dynamics. Explainable AI (XAI): Ensure models provide mechanistic insights into cancer cell states
-
learning, AI, or statistical modeling applied to biological data Experience with genomics, transcriptomics, single-cell and/or spatial omics technologies Proficiency in scientific computing frameworks Strong
-
-being, social connectivity, and resilience—integrating geospatial and spatial-temporal analysis to assess patterns, accessibility, and environmental exposure. • Collect, analyse, and interpret data using
-
regional ocean/ice/biogeochemistry models (OBMs) applied to Arctic coastal seas, the properties of terrigenous sediments are rarely integrated into physical and biogeochemical processes. To address this gap