Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Germany
- Sweden
- Netherlands
- Portugal
- Belgium
- Norway
- Switzerland
- Czech
- Canada
- Denmark
- Finland
- Spain
- Australia
- Estonia
- Poland
- Singapore
- Austria
- Hong Kong
- United Arab Emirates
- Italy
- Ireland
- Japan
- Luxembourg
- Morocco
- Brazil
- Iceland
- India
- Lithuania
- Slovakia
- Slovenia
- 23 more »
- « less
-
Program
-
Field
-
NAME_FAMILY NAME) : https://nextcloud.univ-lille.fr/index.php/s/ezJxfSBwTjkJCnt Key words: solidification, recycled aluminum alloys, induction heating, thermal simulations, 3D modelling, mechanical testing
-
machine learning (ML) approaches offer a powerful framework for modeling complex catalytic materials with near ab initio accuracy while enabling simulations at significantly larger spatial and temporal
-
. Process LiDAR data to support 3D analysis of terrain and settlements, integrating it with other spatial datasets to improve accuracy and create 3D models. Plan, execute, and process drone-based data
-
are of interest. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial
-
(PDEs) and modelling with PDEs. The applicant’s research focus must be a specialisation in numerical analysis for PDEs. The specialisation should both strengthen the division’s current research in
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
that is focused on the study of human tumors through the use of multiple genomic technologies. The methods used include gene expression profiling using bulk RNAseq and scRNAseq, DNAseq, and spatial
-
. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational
-
nécessaire pour suivre les bilans des gaz à effet de serre, la production de biomasse et les rendements agricoles. À ce jour, la plupart des méthodes permettant d'estimer spatialement la GPP s'appuient soit
-
for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models
-
statistical models. Within the Polarity, Division and Morphogenesis team, the candidate will work closely with biologists and physicists to develop approaches integrating spatial transcriptomics, cell dynamics