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PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs, transformer-based
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disease-relevant phenotypes across key developmental windows. Mechanism-driven therapeutics: We will develop therapeutic strategies based on antisense oligonucleotides, genome engineering and small
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
shared resources, including the following: An integrated support structure for brain organoids In vivo and ex vivo cellular imaging platforms Bioinformatics support Production of genetically engineered
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engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional shared resources and core facilities support the laboratory by providing
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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facilities led by expert scientists, coupled with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth: Experience specifically designed programs to enhance
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ideal candidate has strong familiarity with several of the following subjects: algorithmics, mathematical modelling, graph transformation, algorithm engineering. Applications of these areas to systems
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collaborations (European MCL Network). The reMoVE-B team gathers around twenty members (faculty, researchers, engineers/technicians, and students) dedicated to studying resistance mechanisms in mature B-cell
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cooperation between scientists in the fields of physics, chemistry, and engineering solid, modern equipment for manufacturing nanoscale magnetic structures opportunity to pursue a postdoctoral qualification
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics