Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- United Kingdom
- Portugal
- Singapore
- Norway
- Spain
- Italy
- Netherlands
- Denmark
- Belgium
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- Hong Kong
- Ireland
- Canada
- Austria
- China
- Czech
- Worldwide
- Cyprus
- Estonia
- Finland
- Japan
- Malta
- Switzerland
- Greece
- India
- Morocco
- Slovakia
- Andorra
- Bulgaria
- Saudi Arabia
- Armenia
- Brazil
- Europe
- Mexico
- New Zealand
- 33 more »
- « less
-
Program
-
Field
-
, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation
-
: image processing, machine learning, and patient records. Track record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience
-
, including experimental design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential
-
of dynamic outdoor thermal comfort. This objective aims to reduce the computational demands of microclimate simulations and thermal comfort analyses by developing fast parametric algorithms and data-driven
-
to be developed: Analyze iEEG data. Develop multimodal algorithms. Perform the characterization of the epileptogenic network. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
-
research arm and data collecting activities. PM will be active in development of hands-on training units. This involves purchasing of equipment and scheduling of training units. The PM will also oversee
-
the development of efficient algorithms and codes for multilinear algebra, with a particular focus on the use of innovative parallel programming models and tools. In the context of this task and as part of the Exa
-
la stabilité des algorithmes et à l'efficacité computationnelle. Une partie de la thèse sera également consacrée à des travaux expérimentaux visant à caractériser le comportement mécanique de systèmes
-
by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed
-
Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods