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headset and eyetracker, Vicon motion capture system, Rokoko motion capture system, Pupil Core eye tracker. Software: Python, C#, C++, R, Unity, OpenXR, MakeHuman, MotionBuilder, Maya. Physical Demands and
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, genotype data, biomarkers, etc.) is required. Desire to apply your skills in data analysis to utilize bioinformatics methods (e.g., from R/Bioconductor) or machine learning tools (e.g., using Python packages
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, analyzing and interpreting common stroke and/or TBI rehabilitation assessments and treatments Experience in analyzing clinical data with statistical methods (e.g., R, SPSS) Experience in neurophysiological
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assessments and treatments Experience in analyzing clinical data with statistical methods (e.g., R, SPSS) Experience in neurophysiological techniques (e.g., transcutaneous magnetic stimulation, near infrared
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The Applied Materials Division, Process R&D and Scale up Group is seeking a postdoctoral candidate to conduct general research in material science and electrochemistry related to next generation
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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preferred. Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in immunology is desired. Candidates should have a PhD in Chemistry, Chemical Engineering
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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or machine learning. Strong programming skills in Python/R. Solid foundational knowledge in human genetics and genomics. Experience working with next-generation sequencing data. Baylor College of Medicine is
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. Supporting the largest radioisotope production and research portfolio within the Department of Energy (DOE) Office of Science for Isotope R&D and Production, as well as extensive isotope production programs