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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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research, especially deep learning literature, and how these methods apply to our use cases Ability to manage multiple projects and assignments with a high level of autonomy and accountability for results
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: Experience in managing large-scale -omics data, including data storage, organization, and inventory across multiple platforms. Strong skills in record-keeping, facilitating data upload to online repositories
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data (e.g., using MATLAB, R, Python). Ability to write papers and reports for peer-reviewed journals. Understanding of ethical guidelines in research. Capable of planning and executing complex projects
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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Southwestern (UTSW) Medical Center in Dallas, seeks applications for multiple postdoctoral fellow positions to investigate memory mechanisms in the mammalian brain using innovative molecular, cellular
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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using programming languages such as Python or R. Communication and Organisational Skills: Excellent problem-solving skills, with the ability to plan, prioritise, and manage multiple tasks efficiently
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species