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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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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
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Troubleshoot experimental procedures and improve robustness and reproducibility Document experiments and manage data in a structured and reproducible manner Collaborate with experimental and computational team
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-how in molecular biosciences. NBIS is also the Swedish node in the European infrastructure ELIXIR for biological information. We are now strengthening our capacity in our NBIS support unit for cell and
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includes both scientific and technical staff with expertise in experimental neuroscience, behavioral studies, and data analysis. The position is linked to a research project investigating how humans acquire
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recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
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measurements, including raw data processing and postprocessing. The data will contribute to one or two scientific articles. Work duties Research within the subject area Contributing to publishing results in high
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several cancer research groups represented, including joint seminars and other collaborative activities. The group uses various data sources and modern techniques to improve predictive modelling, including
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information about us, please visit: www.dbb.su.se . Main responsibilities We are looking for a highly motivated staff scientist to join the In Situ Sequencing (ISS). While formally affiliated with DBB
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pathogenesis. To address this, our project utilizes novel semi-permeable capsule technology , molecular barcoding, and high-dimensional data analytics to interrogate prokaryotic cells at the single-cell level