Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Portugal
- Germany
- Sweden
- Netherlands
- Spain
- Belgium
- Norway
- Denmark
- Italy
- Singapore
- Australia
- Ireland
- Finland
- Switzerland
- Austria
- Czech
- China
- Luxembourg
- Poland
- Canada
- Estonia
- Morocco
- Romania
- United Arab Emirates
- Hong Kong
- Brazil
- Japan
- Andorra
- Macau
- Saudi Arabia
- Vietnam
- Barbados
- Bulgaria
- Iceland
- Latvia
- Lithuania
- Malta
- Slovenia
- 31 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Business
- Environment
- Law
- Linguistics
- Humanities
- Electrical Engineering
- Psychology
- Arts and Literature
- Physics
- Social Sciences
- Sports and Recreation
- Education
- Design
- Philosophy
- 14 more »
- « less
-
evaluating and piloting new technologies to improve team workflows and research quality. Experience implementing or using AI, predictive modeling, or advanced analytics to inform prospect identification and
-
, assess the health state of systems, and predict their future evolution and remaining useful life. The proposed approach integrates physics-based and data-driven modeling techniques, including machine
-
physics. Many BSM theories, such as Composite Higgs Models or those involving extended Higgs sectors, predict significantly enhanced HHH production rates, potentially by orders of magnitude, compared
-
intelligent surfaces Main supervisor: Prof. Viktar Asadchy[AALTO] Co-supervisors/mentors: Dr. Victoria Tormo [INDRA] and Dr. Barthès [3DEUS] Objectives To establish an analytical modeling approach
-
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
-
for transportation prediction, system optimization, and environmental/health impact modeling Deployment of decision-support tools for public-sector clients (municipalities, MPOs, DOTs) Urban mobility, equity
-
, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
-
with The School of Natural Sciences and the Discipline of Geology, seek to appoint an AIB/E3 Assistant Professor in the area of Earth System Modelling. More specifically, the successful candidate will utilize
-
innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
-
are developing methods and tools to explore and understand immunity across domains of life, from genomics to experimental work in various model organisms. The role of the engineer will be to consolidate, update