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Field
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3 years postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience working with remote sensing. Experience with crop physiology is a plus. Strong numerical
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with IoT, edge computing, and cloud integration in rural or resource-constrained settings. Proficiency in MATLAB/Simulink and AI/ML tools like TensorFlow or PyTorch. Excellent programming skills (e.g
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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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studies and in using functional MRI and scripting-based languages (e.g. Matlab, R, Python). You will need to hold a PhD in Neuroscience, Economics, Psychology, Decision Sciences or related discipline
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Plotting figures Qualifications: Good organizational skills Attention to detail Experience and Education: Currently completing a Bachelor of Science degree Having basic coding experience (e.g., Matlab
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and some familiarity with the preparation of tissue sections Experience working with tissue sections or organoid samples for bio-imaging applications Familiarity with image analysis tools such as MATLAB
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, Materials Studio, etc.), and general coding (Matlab, Python, etc.). Good written and oral communication skills. Good communication and collaboration skills, and good adaptability for independent work, strict
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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
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or electrophysiology, and proficiency in MATLAB/Python/R are desirable but not required. The position is part of a well-funded research program and will provide the opportunity to produce high-impact publications and
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in CFD software tools such as Ansys Fluent and CFX and with experience in coding using MATLAB, Python, and User-Defined Functions (UDFs). Strong technical communication skills. At Level B