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Field
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Forensics, Image Forgery Detection & Localization, Deepfake Detection, and related areas. Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python, C/C++, as well as Linux (eg
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cellular neurophysiology or related fields Experience in patch clamp-based electrophysiological recording from native neurons Expertise in programming with Python and R Experience with programming
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experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant
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University and the broader NYC cognitive science community. Responsibilities Include: Research & Analysis Develop and maintain Python-based pipelines for large-scale data processing (images/video, text
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to improving the quality and efficiency of the consortium code base. Preference will be given to candidates with a strong publication record and proven experience in Python programming, source code versioning
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models, and foundation models Strong programming skills in Python and deep learning frameworks such as PyTorch Experience with large-scale experiments, model optimization, and performance analysis
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in C or C++ or a track record of mastering multiple low-level and high-level programming languages (e.g., Python, R, Julia, Fortran). Department Contact for Questions Questions pertaining
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)computer science, (bio)physics, mathematics, engineering or similar degree from STEM - advanced programming skills in Python - experience with ODE modeling, in pharmacokinetics, ADME, pharmacology
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scientific programming in Python are considered assets Motivation to work hands-on at the beamline and contribute to user support activities Additional Information Benefits We offer Our institution is based
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial