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Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
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bioanalysis method development, validation, and samples analysis to clinical studies, which focus on a phase 1 single dose study to evaluate the pharmacokinetic and local GI drug release/dissolution of new drug
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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of machine learning techniques Proficiency using data science tools (e.g., Python, R, MATLAB, MySQL, Jupyter Notebooks) Excellent verbal and written communication skills including the ability to communicate
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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, statistics, computational biology, or a related field; Strong programming skills in one of the traditional programming or scripting languages (R/Python/C++); Experience working in a Linux environment; A strong
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towards histopathology and spatial sequencing experiments. Extract RNA/ DNA from tissues and prepare sequencing libraries. Analyze spatial sequencing data using Python or R. Perform rodent neurosurgeries
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researching the auditory midbrain (inferior colliculus). Detail-oriented, quantitative mindset and experience with scientific programming (Matlab, python, or R) is critical. Strong organizational, leadership
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for strong data management, documentation, and other tools that support replicable research practices High proficiency in at least one language or statistical package (e.g., Stata, R, Python) Demonstrated