Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Germany
- Netherlands
- Portugal
- Spain
- Sweden
- Denmark
- Singapore
- Belgium
- United Arab Emirates
- Italy
- Norway
- Austria
- Finland
- Poland
- Romania
- Australia
- Morocco
- Luxembourg
- China
- Canada
- Switzerland
- Hong Kong
- Japan
- Greece
- Brazil
- Croatia
- Czech
- Cyprus
- Estonia
- Malta
- Saudi Arabia
- Ireland
- Taiwan
- Andorra
- Bulgaria
- Israel
- Lithuania
- Armenia
- India
- New Zealand
- Slovakia
- Worldwide
- 35 more »
- « less
-
Program
-
Field
-
for Quantum-enhanced, distributed radar signal processing techniques that maximise target Signal-to-Noise Ratio (SNR). The algorithms we will derive will be applied and tested in the context of target detection
-
mindset and intellectual curiosity to strengthen and complement the research profile of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund
-
the use of reinforcement learning approaches to enable tractable active auditing, by both relaxing guarantees and by adding work assumptions for proposing efficient algorithms. Where to apply Website https
-
experimental activity. Both traditional algorithmic technologies and A.I technologies will be used Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
-
learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g
-
preparing libraries for next-generation sequencing (NGS) as well as nanopore sequencing, along with the ability to analyze sequencing data using bioinformatics algorithms. Proficiency in developing algorithms
-
National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 5 hours ago
transfer algorithms for NASA GISS‘s general circulation model (GCM) to study radiative interaction and feedbacks between various atmospheric constituents and the climate system. Potential specific topics
-
databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
-
for a researcher as of the Feb. 1st, 2026 (PhD position) as part of the reserach project BANNER. Your tasks: Develop AI algorithms for real-time fault detection, fault classification, and failure-mode
-
. Create predictive algorithms for the occurrence of cyanobacteria blooms; 3. Support field activities, process large volumes of data, and contribute to scientific publications. Requirements: • PhD in areas