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of English. It is an advantage if you have: Experience of working with large text or image materials, for example organising digital archives, curating public databases, structuring and quality-assuring large
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replication assays, imaging is beneficial International research experience and/or collaboration across laboratories is highly valued Additional academic achievements beyond the doctoral degree (e.g
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prototype different thermal technologies and evaluate as well their integration and control within given hybrid systems, and under different market scenarios and industrial applications. Among
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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and has training in statistics, data processing, bioinformatics, or a related discipline, to contribute to research on disorders of the brain. You will work with some degree of independence as a
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scientific ambition. Access to world-class facilities at SciLifeLab and KTH for spatial omics, single-cell genomics, high-resolution imaging, and computational infrastructure. Close mentorship with
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omics, single-cell genomics, high-resolution imaging, and computational infrastructure. Close mentorship with opportunities to lead projects, co-supervise students, and develop research independence
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must also have proficiency in single cell electrophysiology and high throughput calcium imaging using genetically encoded calcium indicators (GECI). In addition, the applicant must have experience in
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multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both spoken and written English. Merits