Sort by
Refine Your Search
-
Listed
-
Country
- United States
- Australia
- Singapore
- United Kingdom
- Austria
- Spain
- France
- Germany
- Sweden
- Canada
- China
- United Arab Emirates
- India
- Italy
- Belgium
- Denmark
- Netherlands
- Ireland
- Czech
- Portugal
- Hong Kong
- New Zealand
- Poland
- Lithuania
- Romania
- South Africa
- Switzerland
- Finland
- Japan
- Morocco
- Norway
- Saudi Arabia
- Andorra
- Armenia
- Barbados
- Croatia
- Cyprus
- Europe
- Fiji
- Greece
- Kyrgyzstan
- Luxembourg
- Slovenia
- Taiwan
- 34 more »
- « less
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Science
- Engineering
- Education
- Biology
- Mathematics
- Arts and Literature
- Law
- Materials Science
- Social Sciences
- Environment
- Humanities
- Chemistry
- Sports and Recreation
- Linguistics
- Earth Sciences
- Psychology
- Philosophy
- Design
- Electrical Engineering
- Physics
- Statistics
- 15 more »
- « less
-
Venturelli Lab The Venturelli Lab at Duke University (www.venturellilab.org) is seeking highly motivated researchers or postdoctoral researchers with expertise in machine learning, deep learning, and/or
-
The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
-
Machine Learning without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research
-
. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell, regulatory, or multimodal biological data. Support target and mechanism prioritization by integrating
-
microfluidics, nano-electronics, nano-biomaterials, big data, and deep learning. Applicants must hold an M.D., Ph.D., or equivalent degree and have extensive postdoctoral experience, along with a strong
-
Training Group Information (JTT) https://arxiv.org/pdf/2107.09044 [3] Hacohen, Weinshall (2019). On the Power of Curriculum Learning in Training Deep Networks http://proceedings.mlr.press/v97/hacohen19a
-
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
-
Science Programs, and MS in Computer and Information Science (https://cse.aua.am/ ) invite applications for a full-time faculty position in Machine Learning at the rank of Assistant Professor, starting in
-
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
-
following areas: Strong foundation in machine learning, optimization, and deep learning algorithms, including Transformer architectures. Hands-on experience or solid theoretical knowledge of LLMs/SLMs