Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
also include actively contributing to the collaborative environment within which the project will be carried out. Your qualifications You have graduated at Master’s level in machine learning
-
application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
-
solid mathematical foundation and an interest in statistical learning, an interest in interdisciplinary collaboration and willingness to translate new methods into clinical applications, excellent study
-
position is part of an on-going multisite research project that investigates the possibilities and implications of AI-enabled conversational guides on visitors’ learning and experiences in public educational
-
multisite research project that investigates the possibilities and implications of AI-enabled conversational guides on visitors’ learning and experiences in public educational environments. The Department
-
Management offers a collaborative and innovative research environment, working closely with industry to address real-world challenges in digital transformation. The division is known for its strong links
-
analyses and machine learning. Some data for the project already exist, but additional data will be collected from behavioural tests on privately owned pet dogs in Sweden and abroad (Europe). Travel and time
-
work with large-scale behavioural data sets using a range of approaches, including heritability analyses and machine learning. Some data for the project already exist, but additional data will be
-
the main working language. The department is located at the Biomedical Centre in Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives
-
Centre in Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives access to advanced infrastructure for experimental and theoretical studies