19 federated-learning PhD positions at Stockholm University

PhD student in Data Driven Evolution and Biodiversity: Plant Extinction

, probabilistic modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with

PhD student in Data Driven Evolution and Biodiversity: Plant Extinction

, probabilistic modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with

PhD student in Application of Machine Learning to Advance Bathymetric Seafloor Mapping and Data Compilation

been directly mapped. This PhD position at Stockholm University focuses on leveraging machine learning (ML) to identify errors in large bathymetric datasets and applying ML techniques like "super

PhD student in Bioinformatics

at the Department of biochemistry and biophysics, at Stockholm university. Project description Your studies in Bioinformatics will be in the project: "Deep Learning for protein structure prediction”. Protein

PhD student in Marine Geology: Arctic Ocean borealization during past warm climates: signals from planktonic foraminifera

biostratigraphy, Quaternary Arctic palaeoceanography, marine sediment sampling methods and geochemical analysis within a network of international collaborators. AI/Machine learning approaches are also possible

PhD student in High resolution Mass spectrometry

) consolidator grant. Project description Project title: Pinpointing toxic chemicals from mass spectrometric data with supervised and unsupervised machine learning. Supervisors: Assoc. Prof. Anneli Kruve (main

PhD student in AI for Drug development

between these. There will be a strong focus on developing machine learning tools and novel molecular representations. Fundamental knowledge of machine learning and programming as well as molecular biology

PhD student in Neurochemistry

such as dimensionality reduction, clustering and visualization in combination with advanced tools of machine learning and neural networks to build models of epigenetic regulation of gene expression during

PhD student in Ecology and Evolution

. They teach on many different courses that are part of biology education at both Bachelors and Masters level Project description The Department of Ecology, Environment and Plant Sciences invites applications

PhD student in Ecology and Evolution

. They teach on many different courses that are part of biology education at both Bachelors and Masters level. Project description The Department of Ecology, Environment and Plant Sciences invites applications