Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- INESC ID
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Cornell University
- Macquarie University
- Nature Careers
- Northeastern University
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UiT The Arctic University of Norway
- University of Nottingham
- AALTO UNIVERSITY
- AbbVie
- Carnegie Mellon University
- FEUP
- Harvard University
- Helsinki Institute for Information Technology
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Montana State University
- Nanyang Technological University
- OCAD University
- Simula Research Laboratory
- Singapore University of Technology & Design
- UCL;
- Universidade de Coimbra
- 14 more »
- « less
-
Field
-
, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000
-
duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
-
performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
-
23 Mar 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
the Professional Services Group. The School of Computing has a strong foundation in computing and information sciences at the University. We are a transformative centre for research in artificial intelligence and
-
second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
-
. Experience in, or willingness to learn data-driven approaches, including artificial intelligence (AI) and machine learning (ML) models, to solve problems. The Successful Candidate Will A curious scholar with a
-
across all areas in Computer Science, including Algorithms and theory Bioinformatics and digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and
-
machine learning methods and apply them in an interdisciplinary research environment spanning physics, neuroscience and computational science. You will be expected to participate both in the activities
-
About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? We are launching a