PhD Student in Plant Genomics with Deep Learning Focus

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 OverviewAs part of our ongoing research in plant genomics, we are seeking a highly motivated PhD student to join our team at Umeå University. The successful candidate will work on developing deep-learning driven computational tools for efficient identification of transposable elements (TEs) in large plant genomes.Research ObjectivesDevelop new...

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 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...

Project OverviewThe project focuses on plant genomics and the development of deep-learning driven computational tools. The goal is to develop new deep-learning driven transposable elements (TEs) identification tools to further decrease the computational demand for large genome analysis.Key ObjectivesDevelop a comprehensive TE dataset to capture the sequence...

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...

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 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.Key Research QuestionsDevelopment of new ways of constructing equivariant networksDescription of the resulting models...

Project OverviewThe project aims to deepen the mathematical theory of geometric deep learning, a subfield within 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 OverviewWe are seeking a highly motivated PhD student to join our research group in Computing Science at Umeå University. The successful candidate will work on designing and developing interactive systems that reason spatially and are centered in the human user.Research FocusThe project aims to contribute to an enriching user interaction with...

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, interpretable, and transparent results. Within explainable machine learning, we focus on topics such as provenance, interpretable, and...

Project OverviewOur research project aims to design and develop interactive systems that reason spatially, focusing on human-centered interaction. This involves enhancing the spatial reasoning capabilities of autonomous systems through user interaction, while also improving users' spatial skills through interaction with the system.Research FocusThe project...

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 design and develop interactive systems that reason spatially, centered around the human user. This involves expanding their skills rather than replacing them. The system will enhance the user's spatial reasoning and improve their skills through interaction.Research FocusThe research will contribute to enriching user...

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, as well as different types of privacy measures and models.Research GroupThe research group is part of the Computing...

PhD Position in Medical ScienceWe are seeking a highly motivated and qualified candidate to join our research team as a PhD student in Medical Science with a focus on Neurophysiology. The successful candidate will have the opportunity to work on a cutting-edge project investigating the role of muscle spindles in sensorimotor control.About the ProjectThe PhD...

About the ProjectThe project aims to design and develop interactive systems that reason spatially and are centered in the human user. This involves expanding the user's skills rather than replacing them. The project will contribute to enriching user interaction with autonomous systems in a bidirectional way, enhancing both the user's spatial skills and the...

PhD Position in Medical ScienceWe are seeking a highly motivated and qualified candidate to join our research team as a PhD student in Medical Science with a focus on Neurophysiology. The successful candidate will have the opportunity to contribute to cutting-edge research in the field of sensorimotor neurophysiology and work closely with our team of...

Research Opportunities at Umeå UniversityThe Department of Applied Physics and Electronics at Umeå University is a dynamic and interdisciplinary research environment with a strong focus on energy technology, laser spectroscopy, medical technology, electronics, and system engineering. Our research group, "Cooperative and Intelligent Embedded Systems," is...

Research Position in Plant Stress ModellingWe are seeking a highly qualified Assistant Professor to join our research team at the Department of Plant Physiology, Umeå University, as part of the Umeå Plant Science Centre. The successful candidate will focus on modelling plant stress responses, contributing to the Centre for Modeling Adaptive Mechanisms in...