177 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" Fellowship scholarships
Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- INESC TEC
- University of Stavanger
- INESC ID
- University of Melbourne
- UiT The Arctic University of Norway
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Universidade de Coimbra
- Universidade Católica Portuguesa - Porto
- Instituto de Telecomunicações
- University of Oslo
- Università degli Studi di Padova
- Curtin University
- Faculdade de Letras da Universidade de Lisboa
- Instituto de Engenharia Mecânica
- Lincoln University
- Nature Careers
- OsloMet – Oslo Metropolitan University
- Princeton University
- The University of Iowa
- University of Aveiro
- University of Basel
- ARCNL
- Aston University
- CICERO Center for International Climate Research
- Centro de Estudos Sociais da Universidade de Coimbra
- Dipartimento di Scienze e Tecnologie– Università degli Studi di Napoli Parthenope
- Faculdade de Medicina da Universidade do Porto
- Ghent University
- Instituto Politécnico de Viseu
- Instituto Superior Técnico
- Max Planck Institutes
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- NTNU - Norwegian University of Science and Technology
- Nanyang Technological University
- Politecnico di Milano
- S2AQUA – Collaborative Laboratory, Association for a Sustainable and Smart Aquaculture
- SAPIENZA UNIVERSITA' DI ROMA-DIPARTIMENTO DI PSICOLOGIA DINAMICA CLINICA E SALUTE
- Swinburne University of Technology
- Tulsa Community College
- UNIMORE
- UNIVERSIDAD DE BURGOS
- Universidad de Cantabria
- Universidade do Minho - CTAC
- Universidade do Minho - ISISE
- University College Dublin;
- University of Manchester
- University of New Hampshire – Main Campus
- Università degli Studi di Sassari
- Università degli Studi di Padova - Dipartimento di Psicologia Generale
- Università degli Studi di Trento
- 40 more »
- « less
-
Field
-
factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
-
Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer Engineering. INESC-ID’s
-
. 123/2019, of August 28; FCT Regulation for Research Studentships and Fellowships, available on https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 Workplace: The work will be
-
to sign the contract. More information is available on: https://www.dges.gov.pt/pt/pagina/reconhecimento . Workplan and the objectives to achieve: This work aims to develop a numerical approach based on
-
innovation in the maritime sector. Contest Procedure Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu
-
compression, event-based or neuromorphic vision, signal processing, machine learning or deep learning for visual data. - Motivation for research and scientific dissemination. - Good communication skills in
-
communication, scientific dissemination and technical reporting activities of the project. Where to apply Website https://pica.cineca.it/ Requirements Additional Information Eligibility criteria Eligible
-
tumors and metastases to investigate intra-patient heterogeneity. Genomic data will also be integrated with the single-cell datasets available. Where to apply Website https://pica.cineca.it/ Requirements
-
potential. Additionally, the study aims to characterize molecular variability both within individual patients and across different patients. Where to apply Website https://pica.cineca.it/ Requirements
-
interactions with local centres of excellence in artificial intelligence, machine learning, applied mathematics, and computational sciences Application Procedure We accept applications from students of any