31 image-coding-"Foundation-for-Research-and-Technology-Hellas" positions at SciLifeLab
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Spatial metaTranscriptomics methods and thus also handling of image data. The PhD student will interact with other team members to a large extent. For this purpose, we are looking for a PhD student with
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work will increasingly focus on wet lab experiments using cancer cell lines, organoids, and animal models, including imaging and molecular analysis. The project is well-suited for candidates with a
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assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. Description of the workplace
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at SciLifeLab in Stockholm, a vibrant and dynamic science hub, with a particular focus in multidisciplinary research. The CMCB laboratory aims more specifically at developing cutting-edge data/image analysis as
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access to Departmental and University infrastructure for imaging, biochemical analyses, GMO plant growth, greenhouses and common gardens as well as access to National infrastructure for sequencing
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, electrical impedance spectroscopy, optical microscopy and image analysis. The candidate will be immersed in the thriving environment at SciLifeLab, Solna, a collaborative hub for experimental and computational
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includes image data processing/analysis and writing project reports. Qualification requirements Required Qualifications PhD in molecular biology or equivalent competence. Experience working in a laboratory
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, and DNA repair. The research group study the biological functions of quadruplex DNA structures in the genome by using a variety of biochemical, biophysical, imaging, and molecular biology methods, and
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methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and
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to the advancement of precision medicine in oncology. A typical workday may involve writing and running code to pre-process sequencing data on a compute server, applying statistical models and algorithms to construct