Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- United Kingdom
- Italy
- Sweden
- Germany
- Spain
- Poland
- Singapore
- Belgium
- Portugal
- Denmark
- United Arab Emirates
- Netherlands
- Australia
- China
- Canada
- Worldwide
- Austria
- Hong Kong
- Ireland
- Malta
- Bulgaria
- India
- Romania
- Andorra
- Greece
- Japan
- Luxembourg
- Armenia
- Croatia
- Cyprus
- Czech
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 28 more »
- « less
-
Field
-
Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
-
imaging, and the application of basic image analysis algorithms utilising our state-of-the-art instrumentation (Ventana Discovery Ultra, Akoya PhenoImager, Akoya PhenoCycler, Visiopharm, 10x Xenium). You
-
decentralized machine learning in 6G networks, and design machine-learning algorithms that can handle the network imperfections that remain impractical to resolve at the physical layer. The focus of the research
-
the implementation of optimization algorithms using tools such as Python and MATLAB. Provide feedback on student progress and common challenges to the course instructor. Coordinate exam proctoring and ensure clear
-
University of Illinois at Urbana Champaign | Springfield, Illinois | United States | about 1 month ago
to think algorithmically. Accurate and precise attention to detail. Excellent analytical, quantitative, and organizational skills. Appointment Information This is a 100% full-time Civil Service 5002
-
models to specialized microscopy tasks and develop algorithms that align image level embeddings across modalities (e.g., fluorescence ↔ electron microscopy ↔ brightfield ↔ …). In collaboration with other
-
studies of human movement. Functions to be developed: Develop algorithms to analyze human movement tracking data. Capture movement with Xsens. Write research articles. Where to apply Website https
-
decision with multiple data sources. One example is to develop the semi-supervised methods and dynamic system interfacing algorithms to produce an automated and real-time information exchange across
-
, reporting on channel performance and noteworthy trends. Monitor platform trends, audience behavior, best practices, and changes to algorithms and terms of use to identify opportunities for engagement and
-
/specialty algorithms, the Scheduler critically evaluates the nature and urgency of scheduling requests to provide comprehensive clinical ambulatory scheduling for providers within the department/specialty