Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Sweden
- France
- Italy
- Germany
- Spain
- Poland
- Belgium
- Singapore
- Portugal
- United Arab Emirates
- Denmark
- Netherlands
- Australia
- Worldwide
- Canada
- Romania
- China
- Hong Kong
- Ireland
- Andorra
- Austria
- Greece
- India
- Japan
- Luxembourg
- Malta
- Armenia
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 24 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Mathematics
- Biology
- Economics
- Science
- Chemistry
- Electrical Engineering
- Materials Science
- Business
- Humanities
- Linguistics
- Physics
- Psychology
- Philosophy
- Social Sciences
- Arts and Literature
- Earth Sciences
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
and prioritize impactful software solutions and guide the team in developing creative, robust approaches to evolving research challenges. Apply AI/ML algorithms to domain-specific software engineering
-
) processes and develops methods and algorithms to achieve a fundamental understanding of high-dimensional data and processes in the bioeconomy in particular. Bioinformatics at Forschungszentrum Jülich plays a
-
22 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de l'ENS Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher
-
position within a Research Infrastructure? No Offer Description The Leverhulme Centre for Algorithmic Life is a major new interdisciplinary research hub dedicated to the study of how machine learning and AI
-
of pathogenic bacteria, viruses, fungi and eukaryotic parasites. Research topics include structural analysis of virus entry, viral evolution, viral oncogenes, intracellular bacterial pathogens, microorganisms
-
Code 9791AO Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Job description: 50%: Lead and conduct research in the development and application of algorithms
-
evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
-
between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
-
/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
-
are not limited to: Learn research techniques to develop algorithms and models for the simulation of field data Participate in experimental activities such as research design, data collection, technical