Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- United Kingdom
- Portugal
- Singapore
- Spain
- Norway
- Italy
- Netherlands
- Belgium
- Denmark
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- Hong Kong
- Ireland
- Canada
- China
- Austria
- Czech
- Finland
- Japan
- Worldwide
- Bulgaria
- Cyprus
- Estonia
- Malta
- Switzerland
- Greece
- India
- Morocco
- Slovakia
- Andorra
- Brazil
- Saudi Arabia
- Armenia
- Croatia
- Europe
- Israel
- Mexico
- New Zealand
- 35 more »
- « less
-
Program
-
Field
-
. Functions • Develop code and workflows for systems biology and analysis of proteomic and transcriptomic data, supporting researchers. • Develop AI and deep learning algorithms to facilitate image analysis
-
will develop and evaluate fault detection and fault location algorithms for these systems. The project is funded by GE Vernova under a wider collaboration with Imperial College London. You will be co
-
in bioinformatics, computational biology or related subjects; should be familiar with state-of-the-art NGS tools, algorithms and pipelines for processing and interpreting omic-seq data sets, with Unix
-
. You can continue your career journey with us! The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and machine
-
, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job Responsibilities
-
and application of advanced sampling approaches to examine important ecological and behavioral processes in marine ecosystems. Develops and implements automatic tracking algorithm for detecting dynamic
-
processing capability; 3. Implementation of pre-processing, anomaly detection, and self-calibration algorithms; 4. Integration with IoT communication systems selected in Task 3.2; 5. Laboratory and relevant
-
intelligence algorithms). Work in a BSL-3 facility is essential to the work of the lab and includes but is not limited to experimentation with the pathogenic bacterium Mycobacterium tuberculosis. BSL-3 work
-
, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
-
turbine blades. Successful re-development for end-of-life composites could enable reuse in other structural applications. This PhD will investigate the development of hierarchical Bayesian algorithms