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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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physics, with experience in thin-film deposition, device fabrication, and electrical transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data
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aquatic biogeochemistry and watershed-scale monitoring Fieldwork proficiency including sensor deployment Analytical and modelling skills with R or Python Excellent scientific communication Proactive
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governance. Proficiency in SPSS, Python, R, or MATLAB for data analysis and visualisation. Experience in designing and evaluating exercise/prehabilitation programmes. Track record of publications and ability
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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
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experience in protein dynamics studies. The candidate should be knowledgeable about concepts in statistical thermodynamics, in python scripting and C++ programming. Preferred qualifications: Familiarity with
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applications in healthcare Proficiency in CAD software and 3D printing technologies Strong programming skills (e.g., Python, C++, MATLAB) Excellent written and verbal communication skills Ability to work
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optics, quantum information science, or quantum field theory. • Simulation: Proficiency in MATLAB or Python for simulation/modeling and data analysis. • Experience with COMSOL Multiphysics and/or Lumerical
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(e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written and oral
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well as with a team. He/she is preferred to have experiences in: Microfluidic design and fabrication MatLAB and/or Python proficiency for data processing PCB designing and/or microprocessor programming (ARM