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machine learning, generative models, or data science methods; Engaging with public outreach activities and supporting MSc and PhD students’ supervision as requested. Job requirements Essential Requirements
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
. Interested applicants should send their CV and the names and contact information of 3 references to: Stanislav Zakharenko, MD, PhD Department of Developmental Neurobiology, MS 322 St. Jude Children's Research
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transcriptomics data is an advantage. We offer: A 3-year postdoc position in a supportive, stimulating, and interdisciplinary research environment Training in a wide range of scientific and transferable skills
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A postdoctoral position is available for a highly motivated individual interested in the neural circuit mechanisms of schizophrenia. Our laboratory conducts behavioral and 2-photon laser-scanning
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-ecological modeling (24 months, 100%), you will fill a central position to reach important objectives of the project. Equal opportunity is an important part of our personnel policy. We would therefore strongly
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We are seeking a highly motivated and skilled individual to join our neuroimaging laboratory, which specializes in multimodal image fusion, multiparametric modeling, and machine learning techniques
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engineering, or a related discipline, with a clear and demonstrated focus on diabetes research. Experience with iPSC models and data analysis: Hands-on experience with induced pluripotent stem cell (iPSC
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analyzing data from genomic experiments such as RNA-seq, ChIP-seq, CUT&RUN is required. Candidates should have a PhD (or equivalent) degree and must have at least one first-author peer-reviewed publication
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, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active
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Two postdoc positions focusing on the gene-regulatory mechanisms controlling cancer biology are available in the group of Associate Professor Rasmus Siersbæk (Siersbaek group ) at the University