Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Sweden
- Germany
- Italy
- 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
-
project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
-
perturbations. The numerical predictions will be systematically compared with available experimental data from IRPHE to assess accuracy and refine the model, ultimately leading to a validated numerical tool
-
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
-
Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
compréhension des processus physiologiques au niveau moléculaire et pour l'amélioration des approaches théoriques pour le traitement des maladies. Le groupe de recherche hôte (https://sites.google.com/site
-
review, Asana and JIRA for agile project management, and Qlik Cloud, Snowflake and Posit Connect for deploying dashboards and predictive models to support the University’s sophisticated fundraising
-
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
-
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