10 energy "The University of Edinburgh" Postdoctoral positions at SciLifeLab in Sweden

Postdoctoral Researcher in deep learning modeling of metabolism

unified cancer cell model. It will take genetic alterations and metabolite levels as input to predict the cell state, quantified through metabolomics. Through this work we aim to unravel the complex

Postdoctoral fellow in bacterial proteomic analysis

contribute to achieving the UN’s global goals for sustainable development in the areas of good health and well-being, sustainable energy for all, sustainable cities and communities, and combating climate

Postdoc in genomics

project that links regulatory variation to molecular, cellular and organismal phenotypes using a systems genetics approach. The project combines experimental work using CRISPR and single cell approaches

Postdoc in Biophysics

of Biophysics, Department of Applied Physics, KTH. The goal of the project is to use advanced microscopy methods, including super resolution microscopy, to study the dynamics of immune cell receptors in

Postdoc position in Machine Learning

Capture Energy – Data- Driven Studies of Membrane Protein Function, Evolution, and Disease. We are searching for a highly motivated postdoc to join our collaborative project on multiscale simulations

Postdoctoral position in Immunology and Spatial transcriptomics

, with the ultimate goal to understand tumor-associated immune responses and harness these for therapy. The Engblom lab recently developed a new method to study B cells and B cell receptors within

Postdoctoral Researcher in deep learning modeling of the tumor microenvironment

at the intersection of deep learning and cell biology, we encourage you to apply! Your profile To be eligible for employment as a postdoctor a doctoral degree or a foreign degree deemed to be equivalent to a doctoral

Postdoc in Droplet Microfluidics for Microbial Consortia Screening

cell factory screening centered on the development of droplet microfluidic high throughput screening and related droplet assays for yeast, cyanobacteria and microbial consortia at KTH Nanobiotechnology

Postdoctoral position (2 years) in machine learning for analysis of large-scale, high-dimensional biological data

(genes) are included in which cell. Because genes can have slightly different function due to how RNA is spliced together, this is likely to generate new insights. Cancer cells, in particular, may have

Researcher at the SciLifeLab Drug Discovery and Development Platform

research group at the Department of Cell and Molecular Biology. The main focus of the position is to bring state of the art knowledge of machine learning in drug discovery to the DDD platform. This will