Research Engineer in AI and Machine Learning

The Department of Computing Science at Umeå University is seeking a research engineer to contribute to the Wallenberg's research arena for Media and Language. The position involves setting up and maintaining a distributed environment for collaborative projects in machine learning.About the PositionThe main tasks of the advertised position include collecting...

Job DescriptionWe are seeking a highly motivated and skilled PhD student to join our research team at Umeå University. The successful candidate will be working on developing the mathematical theory of geometric deep learning, with a focus on equivariant networks and their applications.About the ProjectThe project is affiliated with the AI/Math track within...

Research Opportunity: Predictive Modeling for Lifelong LearningWe are seeking a highly motivated Postdoctoral Researcher to join our team in the Department of Statistics at Umeå University. The successful candidate will contribute to the development of predictive models for lifelong learning, leveraging existing prospective cohort studies and intervention...

Project description and tasks  Machine learning (‘artificial intelligence’) is having an immense impact on both society at large and research especially, and this impact is expected to increase. This boom is driven by so-called deep neural networks, a class of machine learning models proven incredibly powerful, versatile, and capable of solving many...

Project OverviewThe project aims to deepen the mathematical theory of geometric deep learning, a subfield of neural network theory that concerns symmetries in data or learning tasks and constructing neural networks that react properly to them.Research QuestionsDevelop new ways of constructing equivariant networksDescribe the resulting models...

Project OverviewThe project aims to develop privacy-aware machine learning models that are explainable and extracted from complex and heterogeneous data. We are interested in building models that provide transparency and interpretability, while ensuring the privacy of sensitive information.Research GroupThe research group is focused on developing innovative...

The project focuses on developing privacy-aware machine learning models that are explainable and extracted from complex data. We are interested in building models that are transparent and interpretable. Topics of interest include provenance, differential and integral privacy, k-anonymity, and federated learning.Research GroupThe research group is responsible...

Project OverviewThe project aims to develop privacy-aware machine learning models that are explainable and extracted from complex and heterogeneous data. We are interested in building models that provide provenance, interpretability, and transparency. Within explainable machine learning, we are interested in topics such as provenance, interpretable, and...

Project OverviewWe are seeking a highly skilled postdoctoral researcher to join our team at Umeå University's Department of Statistics. The successful candidate will be part of the sub-project 'Adaptive Interventions to Promote Life-Long Learning', which aims to leverage longitudinal databases to better understand how health-promoting lifestyle...

Project OverviewWe are seeking a highly motivated and skilled PhD student to join our team at Umeå University in the field of deep-learning conifer genomics. The successful candidate will be involved in the development of novel deep-learning driven computational tools for efficient identification of transposable elements in large plant genomes.Research...

Project OverviewAs a PhD student in plant science, you will contribute to the development of deep-learning driven computational tools for efficient identification of transposable elements in large plant genomes. This project aims to advance our understanding of the complexities of transposable elements in plant genomes and their impact on genome...

Project OverviewThe project aims to deepen the mathematical theory of geometric deep learning. This involves developing new ways of constructing equivariant networks, describing the resulting models mathematically, and analyzing how symmetries affect the training of neural networks.Key ResponsibilitiesConduct research in geometric deep learning and its...

Job DescriptionUmeå University is seeking a highly skilled Postdoctoral Researcher in Bio Statistics to join our team. The successful candidate will be part of the sub-project 'Adaptive Interventions to Promote Life-Long Learning', which aims to leverage longitudinal databases to better understand how health-promoting lifestyle interventions can promote...

Umeå University is seeking a highly skilled Scientific Data Analyst to join our Computational Metabolomics Group. This permanent, full-time position offers an excellent opportunity to further improve and develop skills in addressing application-driven data science and bioinformatics challenges in metabolomics.We are now expanding our capacity to support...

Project Overview:Geometric deep learning is a rapidly growing field that combines the power of neural networks with the mathematical beauty of symmetry. As a PhD student in this project, you will delve into the theoretical foundations of equivariant networks, exploring how symmetries can be leveraged to improve the performance of deep learning...

Project description Ever advancing high-throughput DNA sequencing technologies continue to produce genome assemblies of larger genome sizes, such as conifers (10-40 Gb, 3-15x of human genome), wheat (15 Gb, 5x), axolotl salamander (32 Gb, 11x), and giant lungfish (43 Gb, 14x). Genome annotation (identifying various functional sequence elements) presents...

We are looking for a research engineer who will conduct a modelling study analysing blue carbon storage potential in SE Asia. It is a full-time position limited to 15 months. Start date is September 2024 or by agreement.

Project description Interventions to promote lifelong learning show promising results but are hampered by large individual differences in response. It is evident that we need to rethink the premises of randomized controlled trials (RCTs) to better predict who will benefit from which intervention. As a first step in this process we sought to utilize...

The Department of Applied Physics and Electronics at Umeå University is a leading research group in the field of energy technology, laser spectroscopy, medical technology, electronics, and system engineering. We are currently seeking a PhD student in Applied Electronics with a focus on Safe and Secure Intelligent Embedded Systems.The successful candidate...

Project OverviewHigh-throughput DNA sequencing technologies have led to the production of large genome assemblies, including those of conifers, wheat, axolotl salamanders, and giant lungfish. Genome annotation, particularly the identification of transposable elements (TEs), presents a significant challenge in analyzing these large genomes. Deep-learning...