Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Biology
- Science
- Materials Science
- Chemistry
- Mathematics
- Education
- Arts and Literature
- Philosophy
- Psychology
- Electrical Engineering
- Social Sciences
- Humanities
- Sports and Recreation
- Design
- Earth Sciences
- Linguistics
- Physics
- 12 more »
- « less
-
, optimize, and maintain robust computational pipelines for single-cell and multi-omic data analysis, including scRNA-seq and spatial transcriptomic datasets. Establish and maintain workflows for 10x Genomics
-
budgets. Through strong governance, robust financial processes, and cutting-edge systems, we ensure every dollar is put to its best use, fueling research, education, and transformation. Why Join Us? 🚀 Make
-
robustness, reliability, and trustworthiness of AI models, and develop methods for explainability of AI solutions. As part of our team, you will have the opportunity to develop novel learning methods
-
apply. Understand ML/DL frameworks such as TensorFlow and PyTorch. Familiar with version control systems such as Github, Git, etc. TOEFL, IETLS or other certificates that can prove your English level
-
version control systems (e.g., Git) Ability to think strategically, problem solve, and proactively design solutions that are useful, robust, and supportable. Web development experience in a collaborative
-
Website https://seuelectronica.urv.cat/treballar-a-la-urv/pi26031english.htm Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in Chemistry, Nanoscience
-
, intelligence, robustness, and reliability of next-generation robotic systems. The candidate will collaborate with current faculty to build interdisciplinary teams and contribute to excellence in teaching
-
(UD) invites applications for a Research Software Engineer (RSE) to join the NSF AI Institute for Human-AI Cooperation (HAIC). The HAIC Institute ( https://haicinstitute.org/) is a 5-year (2026-2031
-
skills within universities, colleges and research organisations. Further information is available at: https://iuk-ktp.org.uk/ THE PROJECT The University of Essex, in partnership with Swann Engineering
-
strategies that maximise information gain under resource constraints; RL-based approaches for sequential intervention and control; and robust learning methods that adapt to incomplete observations, changing