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languages: Python, Julia, or C . A strong interest in automated extraction, analysis and standardization of multimodal biological, biochemical and medical experimental data Experience with parameter
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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sequence programming (ex: Pulseq) Python, MatLab, C++, etc PyTorch, TensorFlow ML Ops Required Qualifications: MD, PhD, or equivalent Technical interest & expertise in MRI Required Application Materials: CV
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analysis skills (e.g., Python, MeVisLab, Blender) A clear affinity for the field of (bio)mechanics The candidate should be a team player with excellent communication skills In our international working
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
interdisciplinary collaboration. Demonstrated programming skills, preferably in Python (e.g., PyTorch, NumPy, pandas, polars). Experience with spatial and/or temporal data analysis (geographic data, satellite imagery
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techniques, mouse behavior. Coding skills (Python, Matlab, R). Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition ID: 22820 Apply now
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skills in R programming - Working knowledge of Python - Experience with basic analyses to characterize gut microbiomes, including diversity analysis, differential abundance analysis, modeling microbial and
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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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skills in English. Proficiency in data analytics, visualization, and statistical analysis. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office