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Genomics, or a related field Experience with PLINK, SKAT, FUSION, BWA, and/or GATK in large-scale genomic studies Skills in colocalization and Mendelian randomization Proficiency in programming (R, Python
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languages (Python preferred). - Excellent communication skills and a collaborative mindset. What we offer: - A supportive, interdisciplinary research environment. - Access to cutting-edge computational
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is expected. Excellent programming skills (R or Python, Linux shell scripting) and experience with high performance computing in Linux environment is required. Yale University is an Equal Opportunity
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biology. Experience writing code in R, Python, or Matlab. Experience with scientific writing, presentations, and dissemination of research. Experience working on highly collaborative teams. Responsibilities
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conferences and communicate complex information to specialists and within the wider academic community. Experience in developing engines and/or fuel cells models in GT-Power. Experience in using MATLAB/ Python
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systems, optics, programming skills in Python are highly preferred. Ability to work independently and collaboratively, and excellent problem-solving skills. A proven track record of research excellence and
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any of the following: Electrophysiology Multiphoton or confocal imaging Histology, CLARITY, in-situ hybridization Programming (Matlab/IgorPro/Python), electronics fabrication How to Apply: For full
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fibers, optical and optomechanical components are desired. Experience in scientific programming using MATLAB/Python/C/C++ for data analysis and algorithm development will be favorably considered. Good
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expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience
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reputation. Experience working with sequence data, programming in python or similar language (e.g. R), and a strong interest in infectious disease epidemiology are essential for the post. For appointment