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Field
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grant writing or contributing to funded projects. Strong coding experience using R and Python for data analysis. Expertise in the biological interpretation of multi-omics datasets (RNA-seq, proteomics
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’ datasets. • A hands-on experience with large-scale human omics (preferably related to neurodegeneration) studies is expected. • He/she would have solid skills in at least one programming language (R, python
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: Education: Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline. Experience: Expertise in developing and training AI models Proficiency in Python
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, engineering, physical science or related technical discipline. Experience: Expertise in developing and training AI models Proficiency in Python Experience with HPC (GPUs preferred) Related Skills and Other
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communication skills. Does this position have supervisory responsibilities? No Preferred Education/Experience Proficiency in bioinformatics and data analysis tools (e.g., R, Python, or similar platforms
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. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer-reviewed journals and present findings at national and international
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culture techniques. Basic Immunological concepts. Preferred Qualifications Prior experience with live cell fluorescent imaging is helpful. Being proficient in Python, R, and/or command line applications is
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engineering pipelines. Implement models in Python using frameworks such as PyTorch, TensorFlow. Perform statistical analyses and model benchmarking against existing methods. Collaborate with wet-lab scientists
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within the last 5 years. Programming experience including the use of one or more of C/C++, Python, Fortran, Git, and CMake. Writing and communication skills and the ability to publish. Preferred
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human omics (preferably related to neurodegeneration) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance