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Field
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. Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries. Research Excellence: Proven track record
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pipelines to extract biological signals from noisy data sets using Python, MATLAB, and/or LabVIEW. Collaboration: Work alongside biologists to translate raw sensor data into insights explaining the mechanisms
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-quality software. Strong software development skills, particularly in Python or C++, with experience in data analysis, simulation, or workflow scripting. Excellent verbal and written communication skills
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undergraduate or graduate researchers. · Experience writing research grant applications. · Experience with software such as R, Python, Matlab, and GIS tools · Experience facilitating workshops
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, SAS or Python. Excellent written and verbal communication skills. Experience analyzing real-world health, clinical, or biomedical data. Demonstrated ability to work independently and collaboratively in
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is a plus. Candidates should also demonstrate strong skills in Python (for ML/NLP tasks) and R (for statistical modeling or data analysis), as both will be actively used in the research workflow
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genomics approaches. Familiarity with computational analysis (e.g., Python, R, Bash) and/or genome-scale data integration. Experience with cell culture and functional genomics (e.g., CRISPR/Cas9), cancer
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). Strong programming and statistical skills (e.g., Python, Perl, R, Bash). Track record of first-author original research papers. Strong oral and written communication skills. To apply, please send a cover
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(semantics/prosody preferred). Experience with neuroimaging (e.g., fMRI) and quantitative analysis. Proficiency in Python/MATLAB or similar tools. Record of peer-reviewed publications and independent research
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knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. Record of peer-reviewed publications. Knowledge in one or more of the following areas is