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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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generating unbiased, systematic data can give new and unexpected insights into biology. That has been at the core of our work ranging from genome-scale RNAi screens to systematic mapping of genetic
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow - Bioinformatics Department Capon Laboratory | Department of Medical Genetics | Faculty of Medicine (Francesca
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equipment, facilities, space and services . These include a magnetic resonance imaging facility, a cellular imaging team with advanced microscopy instrumentation, customized molecular and genetic tools
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experience in root phenotyping systems and experiments is desired. Experience: The ideal candidate has a good knowledge of plant root systems, methods for phenotyping root systems, and plant genetic analyses
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, computational cancer biology/genetics or a related field, obtained within the last 5 years by the time of the appointment start date or an M.D. within 10 years as well as Proficiency in Python, R, and ML
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. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum
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initiative that will advance our understanding of how genetic factors influence cardiac structure and function, and yield AI models that link phenotypic findings with genetic data to predict CVD risk and
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, and interpreting models, Analyzing genetics data (e.g. GWAS, eQTLs), including predicting variant effects, stratifying patients, identifying desired patients for recall, Designing, synthesizing, and
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analysis pipelines (e.g., Seurat, Scanpy, ArchR). Prior exposure to high-throughput screening or pooled genetic perturbation methods. What we offer A supportive and collaborative research environment within