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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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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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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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-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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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
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. Qualifications: An MS degree is required. A background in computer programming, whether through formal Computer Science training or applied experience is required. This individual should have
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., patch clamp recording), two-photon imaging, confocal microscopy, and strong programming/data analysis skills. Candidates should have one or more first-author publications and be capable of leading
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epidemiology (Mendiratta G et al, Nature Communications, 2021). Requirements for the position include a doctoral degree, strong programming and data analysis skills, one or more first author research
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, biostatistics, data science, and related fields. Experience with human genomic data analysis. Professional programming skills, experience with high-performance computing, and cloud computing