Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Germany
- Norway
- Canada
- Denmark
- Spain
- Poland
- United Arab Emirates
- Belgium
- Netherlands
- Finland
- Hong Kong
- China
- Morocco
- Switzerland
- Luxembourg
- Singapore
- Australia
- Austria
- Ireland
- Italy
- Saudi Arabia
- Taiwan
- Japan
- New Zealand
- Romania
- Brazil
- Estonia
- Greece
- India
- Portugal
- Andorra
- Barbados
- Cyprus
- Czech
- Europe
- Lithuania
- Mexico
- Slovenia
- South Africa
- Vietnam
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Humanities
- Psychology
- Earth Sciences
- Education
- Materials Science
- Environment
- Physics
- Law
- Linguistics
- Social Sciences
- Electrical Engineering
- Arts and Literature
- Business
- Statistics
- Philosophy
- Sports and Recreation
- 14 more »
- « less
-
] Subject Areas: Computer Science / Artificial Intelligence , Artificial intelligence and machine learning , Artificial Intelligence, Machine Learning, Large Language Models , Artificial Intelligence/Machine
-
THE PROJECT PNRR" Lung Squamous Cell Carcinoma Therapeutic Targets Using Systems-Level Machine Learning Based On Single Cell RNA Sequencing", implemented under Financing Agreement No. 760066/23.05.2023
-
, including Machine Learning Interatomic Potentials. • Other research experience will be considered. Personal Competences: • Strong commitment • Attention to detail • Demonstrated ability to work with deadlines
-
Triple Negative Breast Cancer Using Machine Learning”. We seek to appoint a creative and motivated individual to use machine learning (ML) to identify why some patients with triple negative breast cancer
-
. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling
-
an uncertain future. In the context of the twin transition – that is, the complex relationship between digitisation and the green transition – the focus of this postdoctoral position is the question
-
The Applied Mathematics and Computational Sciences (AMCS) program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah
-
Areas: Data Science / Computer Science , Machine Learning Computer Science / Artificial Intelligence , Computer Architecture , Embedded Systems, Edge Computing, and Mobile Computing Systems , Human
-
harmonization, multi-omics integration as well as the development of machine-learning models for patient stratification and outcome prediction. Moreover, complex multi-layered datasets shall be integrated
-
Missouri University of Science and Technology | Rolla, Missouri | United States | about 16 hours ago
, machine learning, and plant genomics. Our lab seeks to explore and understand the regulatory network of plant genes, their regulation in response to environmental stress at the single-cell level, and the