8 renewable-energy positions at SciLifeLab in Sweden

Doctoral student in marine biology – Developing biological forecasts for the Digital Twin of the Ocean (DTO) (DDLS Research School)

program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine

Doctoral student in marine biology – Developing biological forecasts for the Digital Twin of the Ocean (DTO)

industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular

Doctoral student in Biophysics

at the division of Biophysics, Department of Applied Physics. The goal of the project is to use advanced microchip-based cell culture methods to develop complex 3-dimensional in vitro models of solid tumors (tumor

PhD position in Data-Driven Life Science (DDLS Research School)

more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and

Doctoral student in Medical Science – Data-driven life science (DDLS Research School)

DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular biology, evolution and biodiversity, precision

PhD student within Multi-Modal Modeling of Spatial Biology Data (DDLS Research School)

industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular

Doctoral student in light-controllable fluorescent proteins in microscopy

School of Engineering Sciences at KTH Project description Third-cycle subject: Biological Physics We are looking for a motivated student interested in biophysics and live-cell imaging to join the

Assistant professor in Computational biology with a focus on machine learning for multimodal molecular biology data

learning-based methods for multimodal analyzes and integration of molecular biological data, primarily omics data (bulk and single-cell data and spatially resolved data), but also image data, phenotype data