Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- France
- Germany
- Sweden
- Portugal
- Denmark
- Belgium
- Switzerland
- Czech
- Canada
- Spain
- Austria
- Finland
- Norway
- Italy
- Australia
- Singapore
- United Arab Emirates
- Morocco
- 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
- Engineering
- Mathematics
- Science
- Environment
- Social Sciences
- Materials Science
- Arts and Literature
- Humanities
- Chemistry
- Business
- Linguistics
- Electrical Engineering
- Design
- Education
- Psychology
- Sports and Recreation
- Physics
- 12 more »
- « less
-
and python for applied statistical analyses Experience in analyzing next generation sequencing data Experience in linear models and experimental design Qualifications: Masters degree in Statistics
-
transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial
-
-diffusive(-thermal-chemical) behavior of fiber-reinforced composites at the micro/meso-scale. These models will incorporate uncertainty via stochastic inputs, such as random field representations of spatially
-
on the impactful Net-Zero America (NZA) study (https://netzeroamerica.princeton.edu/the-report ) that developed uniquely-granular spatial, temporal, sectoral, technological, and socio-economic analyses to vividly
-
at various spatial and temporal scales, ranging from individual cells to tissues, organs, and full physiological systems. Computational modeling and simulation: development of constitutive laws, finite-element
-
Transformation (GALLANT): https://www.gla.ac.uk/research/az/sustainablesolutions/ourprojects/gallant/ . This post will be based in Work Package 2 ‘Biodiversity and societal benefits of ‘natural’ urban habitats
-
of the project, including data integration, association analyses (EWAS), and development of predictive models using large, multi-dimensional datasets. The postdoc will work closely with PRI researchers and
-
challenging conditions (see https://tissueresilience.com ). Harnessing powerful in vivo models, our work spans multiple biological scales - linking the molecular cell biology of individual cells to the health
-
-quantitative histomorphometry and image analysis In vitro endothelial and co-cultur models High content imaging and spatial biology (cooperation AG Schapiro, Heidelberg) Single molecule localisation microcopy
-
new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks