Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Norway
- Sweden
- France
- Netherlands
- Denmark
- Portugal
- Germany
- Belgium
- Singapore
- Spain
- Ireland
- Poland
- Australia
- Finland
- Italy
- Canada
- Estonia
- Japan
- Switzerland
- Austria
- Czech
- Luxembourg
- Romania
- United Arab Emirates
- Andorra
- Barbados
- China
- Latvia
- Malta
- Saudi Arabia
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Business
- Earth Sciences
- Mathematics
- Chemistry
- Linguistics
- Electrical Engineering
- Environment
- Psychology
- Social Sciences
- Education
- Law
- Philosophy
- Arts and Literature
- Physics
- Humanities
- Sports and Recreation
- 13 more »
- « less
-
processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
-
. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
-
processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
-
that contribute to the control of viral infectious diseases. The lab’s research focuses on two main areas: (A) developing AI technologies to predict genotype–phenotype relationships of viral proteins, and (B
-
(Jumpei Ito laboratory), Department of Biological Informatics, Research Institute for Microbial Diseases, Osaka University aims to develop bioinformatics technologies that contribute to the control of viral
-
schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making
-
Control - Resilient autonomy for Self-Healing Soft Robotic Platforms - Uncertainty-Aware and Predictive Human-Robot Interaction Qualifications To be qualified for the position, you must have a MSc degree in
-
processes, targeting annual savings of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real
-
areas providing a template for relevant directions: - Embodied Intelligence for Soft Robotic Systems - Foundational Models for Adaptive Soft Robots - Real-Time Adaptive and Stiffness-Aware Control
-
use. Frequently, even higher resolutions do not capture dynamic drivers. This mismatch limits the utility of climate projections for predicting localized glacier change. This project aims to close