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trainee’s curriculum will include gaining independence in developing neuroinformatics workflows and programming to support neuroscientific analyses, clinical research design, fMRI pipeline development
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non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar. Responsibilities
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predict molecular subtypes and therapeutic responses. These tools power a precision oncology framework that enables data-driven treatment selection. In parallel, we generate patient-derived 3D
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organisms. Please note that we have a parallel search for computational neuroscientist faculty members at https://apply.interfolio.com/190740 . The successful candidates will be embedded in a richly
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-throughput experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning
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using experimental, computational, or theoretical methods to investigate human cognition and explore human potential. All admitted Fellows benefit from structured programming, shared research facilities
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investigate human cognition and explore human potential. All admitted Fellows benefit from structured programming, shared research facilities, internal funding, and other resources to advance their scientific
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. Recent PGAs have been trained to collect and analyze EEG data, and to do basic programming in MATLAB and/or R. In addition, the LandiLab has semiweekly lab meetings where lab members discuss their
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statistics, and a keen interest in neurobiology. Solid R skills and genetics knowledge are needed. The positions are ideal for bioinformatics experts as well as for candidates with an expert programming
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external) . Position Overview : We are looking for a highly motivated and qualified postgraduate trainee to join the project team. This individual should have experience in python programming including