Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- United Kingdom
- Italy
- Sweden
- Germany
- Singapore
- Spain
- Belgium
- Poland
- Denmark
- Portugal
- Netherlands
- United Arab Emirates
- Austria
- Hong Kong
- Australia
- Worldwide
- Canada
- Czech
- Luxembourg
- Malta
- China
- India
- Ireland
- Andorra
- Japan
- Armenia
- Bulgaria
- Cyprus
- Estonia
- Europe
- Finland
- Mexico
- New Zealand
- Romania
- Slovakia
- 27 more »
- « less
-
Field
-
enhancements, including advanced navigation algorithms, swarm intelligence, cyber security hardening, and payload-specific control systems. Key Responsibilities: Control Augmentation Development: Design
-
are: To support the development of an automatic tool anchored in the electronic medical record of primary care to identify all patients candidate to receive secondary CV prevention therapies, to help GPs maximising
-
contexts. Functions to be developed: Design, carry out theoretical analysis and experimental evaluation of graph protection algorithms, with the aim of guaranteeing properties such as privacy, security
-
, develop curricula and provide leadership contributions. You will have a proven track record of research outcomes in media and communication. Working in a research-based context, you will create innovative
-
générateur repose sur un algorithme CORDIC couramment utilisé pour générer des signaux sinusoïdaux. Cependant, il apparaît qu'un simple signal carré offre une mesure tout aussi bonne sans ajouter de bruit aux
-
algorithms Perform data analysis, test and debug software Develop, implement and execute plans and tests Design and apply basic data sources and security practices Employ source code control techniques Assist
-
(scRNA-seq) data, and structural data from cnidarians, and we will develop new algorithms to analyze the evolutionary history of muscle components. You will study the evolution of muscle components during
-
algorithmic, hardware, and platform engineering teams. What you will do You actively shape imec’s research and engineering roadmap by tackling the following core architectural challenges: Architecting endtoend
-
to decode the user’s motor intention and translate it into control commands for the assistive device. The activities will primarily involve the design, development, and experimental validation of algorithms
-
artificielle, en particulier des algorithmes d'apprentissage profonds, nous obtenons des modalités de plus haut niveau liées à l'actimétrie : la vitesse de déplacements voire certains mouvements corporels. Les