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provides a vibrant interfaculty research environment and there is access to a wide range of state-of-the-art imaging, metabolomics, genomics and screening facilities. The Sixt lab is part of the Laboratory
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The group boasts extensive experience in fundamental research within computer vision, machine learning and
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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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advanced imaging methods. --[Video about Karolinska Institutet, how we all work towards "a better health for all"] -- Application The application is to be submitted through the Varbi recruitment system.In
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to formalize a biological question into a computational model. Merits: Computational genomics, medical statistics, computational biology and/or imaging analysis. Experience with NGS (10x platform, Smart-Seq
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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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of the massive data streams offered by techniques such as high-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and
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at the undergraduate level, any advanced work and other scientific or scholarly works. The assessment also takes into account breadth and composition of the undergraduate degree as well as the picture which the intended
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required. Other desirable qualifications Experience in confocal microscopy or flow cytometry (FACS), and software to process and analyse FACS and image data is desirable. Knowledge of bioinformatics and