Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Netherlands
- Germany
- France
- Sweden
- Spain
- Belgium
- Denmark
- Norway
- Italy
- Singapore
- Finland
- Morocco
- Australia
- Switzerland
- Czech
- United Arab Emirates
- Poland
- Canada
- China
- Ireland
- Luxembourg
- Austria
- Romania
- Japan
- Estonia
- Hong Kong
- Brazil
- Vietnam
- Andorra
- Bulgaria
- Croatia
- Greece
- Hungary
- Lithuania
- Malta
- Saudi Arabia
- Slovenia
- 30 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Environment
- Business
- Psychology
- Humanities
- Linguistics
- Physics
- Arts and Literature
- Electrical Engineering
- Law
- Social Sciences
- Education
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
mineralogical processes, to eventually capture them in physical-chemical models that predict the impact of acidification on marine P cycling. The PHOSFLUX project is a collaboration between the NIOZ (Dr Peter
-
these models specific for predicting and simulating individualized tumor behavior under different treatment scenarios. Dr. Swanson's research team's current projects focus on growing and harnessing
-
to identify novel biomarkers and therapeutic targets, mathematical and computational modeling to predict disease progression and therapy response, the design and validation of innovative therapies, and their
-
predicting pollutant dispersion in complex environments like industrial sites remains difficult due to fluctuating wind conditions and obstacles. This PhD project offers a unique opportunity to develop
-
disruption of the electrical impulses, and can cause a lethal stop of the heart beat. Prediction whether a newly found gene variation is dangerous or not is difficult and requires a lot of experimental work
-
integrating a wide range of neutrino and dark matter models, and aiming to evaluate their effects on large-scale structure statistics (LSS), as measured by the power spectrum and bispectrum of galaxies
-
and validation of a predictive pipeline for excipient–biologic interactions Integration of experimental SAXS data with AI-driven structural modeling to predict oligomerization behavior and excipient
-
of the existing strengths in the department, which include numerical weather prediction, climate modeling, high-impact weather and climate events, boundary layer meteorology, and surface hydrology
-
–2023), the model demonstrated good predictive performance for daily and weekly dengue cases based on two years of sentinel hospital data. As part of the ANRS SEA-ROADS programme (2024–2027), coordinated
-
Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 1 day ago
. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------------------------------...