Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Italy
- Sweden
- Germany
- Spain
- Belgium
- Australia
- Netherlands
- Portugal
- Singapore
- Canada
- Finland
- China
- Hong Kong
- Ireland
- Luxembourg
- Malta
- Poland
- Andorra
- Denmark
- Japan
- Macau
- Switzerland
- Austria
- Barbados
- Czech
- Estonia
- Lithuania
- Morocco
- Norway
- Romania
- Saudi Arabia
- United Arab Emirates
- 25 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Materials Science
- Business
- Mathematics
- Environment
- Chemistry
- Earth Sciences
- Law
- Linguistics
- Psychology
- Sports and Recreation
- Arts and Literature
- Humanities
- Physics
- Education
- Electrical Engineering
- Social Sciences
- 12 more »
- « less
-
are analysed using big data and business intelligence applications to monitor tourisms. Additionally, predictive modeling methods are applied to estimate tourist mobility behavior and movement patterns between
-
, “Time-Varying Operator-Theoretic Framework for Tipping Point Prediction” (PI: Prof. Sho Shirasaka) in the JST PRESTO research area “Exploration of New Science Using Mathematics to Predict and Control
-
/or High Performance Liquid Chromatography (HPLC) to monitor cell culture media composition, and how to use these measurements to build predictive models of cell cultures able to infer and optimize cell
-
Position Information Position Information Working Title Manager, Biophysical Model Design (Temporary) Department Biochemistry-0831 Requisition Number S_260080 Posting Open Date 02/04/2026
-
multi‑omics data. You will also partner with AI experts to integrate predictive models and advanced analytics into omics workflows. You will work in an expanding team led by Dr. Masoomeh Rahimpour
-
Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by
-
for the next 2.5 years at the interlink of prevention and prediction of wildfire risk, by contributing to the development of a fundamental physical model to understand the process of fire spread for
-
on the integration of BIM, artificial intelligence and predictive maintenance (PM) for intelligent BIM models, digital construction sites, predictive analysis and immersive interactions, outlining an operating
-
, predictive analysis and immersive interactions, among others. Where to apply Website https://www.poliba.it/it Requirements Additional Information Eligibility criteria Eligible destination country/ies
-
work on research projects employing latent variable modeling and risk prediction methods to better understand substance use related morbidity and mortality outcomes (e.g., overdose, hospitalization