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to biological data. PREFERRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Computer Science, or a related field Experience applying deep learning or foundation-model approaches to sequence-based
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is a plus. Experience with bioinformatics data types including CRISPRi screens, transpoon sequencing (TnSeq), or next-generation sequencing (NGS) analysis. Familiarity with machine learning frameworks
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is a plus. Experience with bioinformatics data types including CRISPRi screens, transpoon sequencing (TnSeq), or next-generation sequencing (NGS) analysis. Familiarity with machine learning frameworks
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proficient in computer platforms, including MS Office Suite. Strong technical proficiency and quantitative skills are required. Must have the highest level of discretion to handle confidential information
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multimodal data integration Develop and contribute to software tools and maintain clean, well-documented code for long-term sustainability Manage and preprocess large-scale biological datasets of genomic
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of Neural Dynamics and Cognition, led by Dr. Priya Rajasethupathy, focuses on observing and manipulating large-scale neural dynamics in real-time in behaving animals to understand memory processing in
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Responsibilities Responsibilities include: Leading a project in coral stem cell isolation, characterization, preservation, and propagation Develop and implement data analysis and visualization strategies, perform
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advanced optical neurotechnologies that have enabled large-scale optical interrogation of neuronal population activity at high spatiotemporal resolution across model systems. These capabilities have opened
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, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration
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, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. All qualified applicants will receive consideration