Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Germany
- France
- Netherlands
- Sweden
- Spain
- Denmark
- Singapore
- Poland
- Belgium
- Italy
- United Arab Emirates
- Austria
- Norway
- Romania
- Finland
- Australia
- China
- Morocco
- Switzerland
- Canada
- Luxembourg
- Japan
- Greece
- Hong Kong
- Croatia
- Brazil
- Cyprus
- Estonia
- Czech
- Malta
- Taiwan
- Bulgaria
- Ireland
- Israel
- Lithuania
- Saudi Arabia
- Andorra
- Armenia
- India
- New Zealand
- Slovakia
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Mathematics
- Medical Sciences
- Economics
- Biology
- Science
- Materials Science
- Electrical Engineering
- Chemistry
- Earth Sciences
- Business
- Linguistics
- Humanities
- Physics
- Arts and Literature
- Environment
- Psychology
- Law
- Education
- Philosophy
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
-
(https://www.ise.fraunhofer.de/en/research-projects/pvev.html ), we are working to optimize models for PV self-consumption estimation and, on that basis, to develop an algorithm for PV feed-in upscaling
-
academic research lab environment -Software programming for scientific simulations -Interdisciplinary and multi-physics relevant strong background -Design of computational algorithms for 1st /2nd order time
-
direction) (White et al., 2021). This likely leads to an underrepresentation of a players training and match exposure. Recently, a sequential movement pattern-mining (SMP) algorithm has been developed
-
València announcing a selection process for an indefinite employment contract within the framework of a Line of Research R&D+i Line: High-performance algorithms for vector processors https://www.upv.es
-
algorithms that allow robots to refine their control strategies based on observed human behaviour. Collaboration: The project will benefit from extending existing collaborations between the University
-
. Who are you? We are seeking a talented and motivated candidate to implement Artificial Intelligence/Machine Learning (AI/ML) algorithms for modeling and improving the observation of hydrological
-
. For more information about the department, please visit https://cs.utexas.edu . Austin, the capital of Texas, is a center for high-technology industries, including companies such as Amazon, AMD, Apple
-
incorporate optimized machine learning algorithms, support standardized IoT protocols, and be validated in laboratory and semi-industrial environments. The project contributes to smart maintenance strategies
-
Science and Services (TESS) lab (https://tess-lab.org/ ) in the Department of Geography, Streatham Campus, Exeter. Funded by the Saudi NEOM project, eligible students would receive Home tuition fees, a