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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
. These syndromes are associated with a high risk of psychiatric disorders, especially schizophrenia. Preference will be given to applicants who have obtained a PhD in developmental neuroscience, cell biology, or
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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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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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Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent). Applicants
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given to applicants who have received their Ph.D. degrees in behavioral neuroscience or related fields within the last 3 years and have experience in computational neuroscience and data mining using
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computational approaches to uncover novel biomarkers and therapeutic strategies for CNS disorders. Key Responsibilities: Develop and implement algorithms for multimodal image fusion, combining data from MRI, PET
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://as.nyu.edu/biology/directory.fei-li.html This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through
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Job Description The Department of Psychiatry at the University of Tennessee Health Science Center is seeking a full-time Postdoctoral Scholar to join the Department of Psychiatry. This position is
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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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The successful candidate will be responsible for developing computational and systems biology approaches to analyze spatial omics data and single-cell omics data (e.g., scRNA-seq, scATAC-seq, single