Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Portugal
- Sweden
- France
- United Kingdom
- Singapore
- Spain
- Netherlands
- Norway
- Italy
- Belgium
- Denmark
- Poland
- United Arab Emirates
- Australia
- Romania
- Luxembourg
- Canada
- Finland
- Estonia
- Ireland
- Austria
- China
- Hong Kong
- Japan
- Worldwide
- Greece
- Malta
- Morocco
- Switzerland
- Andorra
- Cyprus
- Czech
- India
- Lithuania
- Saudi Arabia
- Slovakia
- Armenia
- Brazil
- Europe
- Mexico
- New Zealand
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Mathematics
- Economics
- Science
- Electrical Engineering
- Materials Science
- Chemistry
- Earth Sciences
- Linguistics
- Business
- Humanities
- Physics
- Psychology
- Social Sciences
- Philosophy
- Arts and Literature
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation, microfluidics
-
, including experimental design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential
-
: Python programming Bash programming Familiarity with genomic data Notions of algorithmics Experience with back or front-end web development is a plus Soft skills : team spirit ease in communication
-
Prof. Neil Walton (Durham University, UK). The general aim of this project is to develop throughput-optimal entanglement distribution algorithms (both centralized and decentralized algorithms
-
algorithms, together with innovative methodological approaches for the clustering/tiling/thinning/sparsening of complex apertures. Where to apply Website https://lavoraconnoi.unitn.it/incarichi-di-ricerca
-
of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
-
learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software
-
role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED’s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr
-
Science Programs, and MS in Computer and Information Science (https://cse.aua.am/ ) invite applications for a full-time faculty position in Machine Learning at the rank of Assistant Professor, starting in
-
the communication system for prototypes of the autonomous monitoring system for invasive wasp species (Asian hornet); (2) to support the programming of AI algorithms for image recognition; (3) to develop the web