21 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at NTNU Norwegian University of Science and Technology
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
viability data to discover new biomarkers and treatment strategies. You will work in a highly interdisciplinary environment spanning oncology, cell biology, imaging, bioinformatics and machine learning, with
-
mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
-
Norwegian courses. Required selection criteria You must have completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms
-
AI systems are reshaping how we learn, work and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI LEARN’s
-
where AI systems are reshaping how we learn, work and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI LEARN’s
-
where AI systems are reshaping how we learn, work and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI LEARN’s
-
AI systems are reshaping how we learn, work and participate in democracy, AI LEARN tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI LEARN’s
-
world where AI systems are reshaping how we learn, work and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI
-
Technology » Computer technology Communication sciences » Science communication Researcher Profile Leading Researcher (R4) Positions Other Positions Country Norway Application Deadline 1 Dec 2025 - 23:59
-
programming and computational models that can genuinely outperform classical computing systems. However, this also presents major challenges for the future of quantum machines, making it a critical research