11 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral positions at Karolinska Institutet (KI) in Sweden
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/or spatial genomics, computational biology, machine learning, bioinformatics, and systems neuroscience. Prior experience with deep learning applied to biological data is a plus. Practical experience
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and expertise in brain imaging (MRI), image processing and machine learning. Coordinating projects within the research group, supervising students and writing applications are also included in the role
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, regression models or machine learning. Applicants from clinical hepatology with experience in the above fields can also be interesting. You will work in an interdisciplinary and international research
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methods to rigorously assess the safety and effectiveness of medications in real-world patient populations. Defining individualized treatment strategies: Leveraging traditional and causal machine learning
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groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement. Location: Solna, Stockholm https
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health for all! Where to apply Website https://ki.varbi.com/en/what:job/jobID:889366/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research
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system. Want to make a difference? Join us and contribute to better health for all! Where to apply Website https://ki.varbi.com/en/what:job/jobID:878253/type:job/where:39/apply:1 Requirements Additional
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. More information about the Genander lab can be found here: http://ki.se/en/cmb/maria-genanders-group. The Genander lab is interested in understanding development and maintenance of epithelial tissues and
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transplantation. Blood, 2024. 143(11): p. 953-966. Yoshizato T. et al., Stable contribution of lineage-restricted stem cells to steady-state human haematopoiesis. Nature Genetics, 2025. Doi: https://doi.org/10.1038
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biomedical sciences. Experience with sequencing data preprocessing, RNA splicing, deep learning and analysis of human multi-omics data is an advantage. The candidate should exhibit a high degree of