16 machine learning positions at Stockholm University in Sweden

Postdoctoral Fellow in Machine-Learning

associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data-Driven Studies of Membrane Protein Function, Evolution, and Disease.  We are searching for a highly

Postdoctoral Fellow in Machine-Learning

: www.scilifelab.se/data-driven . Project description The position will be associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data-Driven Studies of Membrane Protein

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

Research Assistant (temporary employment)

Ref. No. SU FV-1399-24 at the Department of Computer and Systems Sciences . Closing date: 9 May 2024. Department of Computer and Systems Sciences (DSV) is one of the oldest IT departments in Sweden

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 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 Bioinformatics

. In this project, we are recruiting additional Ph.D. student to leverage recent advances in machine learning to create better deep-learning models to predict protein-protein interactions and to apply

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 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