Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Sweden
- Italy
- Germany
- Spain
- Poland
- Singapore
- Portugal
- Belgium
- 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
- Biology
- Economics
- Mathematics
- Science
- Materials Science
- Chemistry
- Electrical Engineering
- Business
- Humanities
- Linguistics
- Physics
- Psychology
- Philosophy
- Social Sciences
- Arts and Literature
- Earth Sciences
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
automation, programming, scripting languages such as Python, and algorithm development. You will have extensive experience of software development / PhD in Computing or in Chemistry with a strong computing
-
. 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
-
for Research in Mathematical Sciences and the Principles of Intelligence (PrincInt: https://princint.ai/ ), housed within the Fields Institute's Centre for Mathematical AI. The fellowships support research
-
engages in meaningful partnerships with industry, government, and the broader community. Job Summary The Research Software Engineer (RSE) will develop software to support DSI’s research priorities and
-
. The PhD will employ a combination of simulation and experimental validation. First, use and develop existing coronagraphic simulation tools in python to develop innovative algorithms, then conduct tests
-
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
-
systems Develop technical work methods in production of projects and analyses of research data Design methods for data mining, algorithms, and application of complex statistical reasoning and statistical
-
Design, develop, and implement advanced algorithms, models, and software tools for spatial data analysis, machine learning, and AI-driven geospatial applications Lead and collaborate on interdisciplinary
-
silico approaches. This may include mathematical modeling of biological systems, machine learning and artificial intelligence methods, and the development of innovative algorithms and software pipelines
-
Leave Professional Development Opportunities https://www.youtube.com/watch?v=BALBcUSl7ck Job Related Minimum Required Education and Experience Requires a bachelor’s degree in a job related field and 4