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Field
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learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing data and scRNA-seq data
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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algorithms for complex systems including thermo-mechanical systems Skills in performing simulations of control systems using MATLAB or other similar software Skills in learning and using Fluent, Ansys or other
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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, compression and tensile testing. Experience in writing competitive proposals. Cell Culture: Human Mesenchymal Stem Cells. Programming skills (e.g., COMSOL, MATLAB, AutoCAD, etc.). Knowledge, Skills and
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: pCLAMP, ImageJ, MatLab Experience using Igor Pro, SigmaPlot, OriginLab, Imaris, Prism, and/or Adobe Illustrator Experience in the following: Brain slice electrophysiology: Prepping solutions for recordings
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(Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g., neural activity and behavior). Experience working with quantitative behavioral or electrophysiological data collection
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possess strong quantitative skills (e.g. Matlab, C++, Python). The term of this appointment is one year with the possibility of renewal contingent upon satisfactory performance and continued funding
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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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Fluorescence, FRET, & single‑molecule microscopy Mechanobiology, force-spectroscopy Bioconjugation chemistry, nucleic‑acid chemistry Quantitative image analysis, MATLAB/Python scripting, or machine learning