Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- United Kingdom
- Portugal
- Sweden
- Spain
- Norway
- Singapore
- Italy
- Netherlands
- United Arab Emirates
- Denmark
- Poland
- Belgium
- Australia
- Luxembourg
- Romania
- China
- Canada
- Hong Kong
- Ireland
- Estonia
- Japan
- Austria
- Finland
- Czech
- Worldwide
- Bulgaria
- Greece
- Malta
- Morocco
- Switzerland
- Andorra
- Brazil
- Croatia
- Cyprus
- India
- Saudi Arabia
- Slovakia
- Armenia
- Europe
- Israel
- Mexico
- New Zealand
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Mathematics
- Economics
- Science
- Electrical Engineering
- Materials Science
- Chemistry
- Earth Sciences
- Business
- Linguistics
- Humanities
- Physics
- Psychology
- Social Sciences
- Arts and Literature
- Environment
- Philosophy
- Education
- Design
- Law
- Sports and Recreation
- 14 more »
- « less
-
leader Prof. Hiroaki Kikuchi, Meiji University) aims to develop innovative data privacy technologies. A post-doctoral researcher who engages in the following studies is now open. https
-
(Position P): Agricultural AI data integration and management based on LLM In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management and
-
believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities: Teach
-
. 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
-
for Research in Mathematical Sciences and the Principles of Intelligence (PrincInt: https://princint.ai/ ), housed within the Fields Institute's Centre for Mathematical AI. The fellowships support research
-
models; Participation in the implementation and execution of laboratory tests for validation of the platform's algorithms, interfaces, and subsystems; Support in the analysis of experimental results and in
-
algorithms for resource-efficient learning, for example via data selection and filtering (leveraging that not all data is equally informative). You will also investigate complementary approaches that reduce
-
also be involved in improving object reconstruction, such as developing advanced algorithms for tau lepton identification or jet substructure / particle-flow techniques to identify Higgs bosons decaying
-
-shower algorithms with unprecedented (logarithmic) accuracy for jet substructure at the LHC. The project also has connections with analytic resummations and studies of jet substructure observables
-
sensing for aero-optic applications. The goal is to advance the wavefront sensing capability and include TIP/ILT estimates in the algorithm. Why should I apply? Under the guidance of a mentor, you will