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of experience beyond PhD, or MS with 4 years’ experience Technical proficiency with quantitative data analytics and workflows (e.g. R, Python, GIS, Modflow, GitHub) Experience with experimental design and complex
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in programming languages such as Python and C++. Goal is the development and integration of new and automated measurement capabilities for ultra-sensitive low-energy AMS. This includes extending and
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. Design, develop, and test business intelligence outputs (including visualization) to ensure useful and insightful information using software including R, Python, Tableau, and/or Excel to support research
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mechanisms that support learning and memory. We use large-scale electrophysiology and imaging to record hundreds to thousands of neurons across multiple brain areas in behaving rodents. To test the role
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documentation. Strong interpersonal, written and oral communication skills. Exceptional time management skills. Ability to effectively prioritize and manage multiple projects and deadlines. Ability to exercise
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(target gene selection, power analyses, guide-library design, readout selection). Build, maintain, and document reproducible analysis pipelines (Python/R; Snakemake/Nextflow preferred) for novel
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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. 0-2 years of work experience with bioinformatics in the relevant scientific domain. Proficiency in, at least, one modern scripting or programming language (Python, R, Node, or C++). PREFERRED
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. 0-2 years of work experience with bioinformatics in the relevant scientific domain. Proficiency in, at least, one modern scripting or programming language (Python, R, Node, or C++). PREFERRED
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institutions from academia and industry in multiple research projects. What you will do Development & application of innovative algorithms in the field of machine learning, specifically with focus on decision