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, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially CRISPR screening, is highly meriting, as is experience with single-cell RNA sequencing or other omics assays
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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Parkinson. We use in vitro biophysical analysis to characterise protein aggregates and their formation in combination with advanced live cell fluorescence imaging and cell model development to study protein
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application package submitted through the AMBER portal (including CV and detailed research plan), and finally, strict compliance with the MSCA mobility rule that the researcher must not have resided or carried
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with SciLifeLab, world leaders in spatial biology. The Engblom lab recently developed a new method to study B cells and B cell receptors within their tissue microenvironment using spatial
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genetics and handling, developmental biology, neuroscience, molecular and/or cell biology with a keen interest in developmental neuroscience. A doctoral degree (PhD or equivalent) in one of the following
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with SciLifeLab, world leaders in spatial biology. The Engblom lab recently developed a new method to study B cells and B cell receptors within their tissue microenvironment using spatial
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learning packages (e.g. PyTorch, Keras) Experience with HPC and scientific workflow management tools (e.g. Nextflow, Snakemake) Experience with single-cell data analysis (e.g scanpy, scvi), and/or spatial
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application! Work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning
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different heterologous hosts to improve our current production methods of spider silk proteins, primarily focusing on prokaryotic systems, but potentially extending to yeasts and cell lines. The candidate is