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Program
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Field
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to develop simulation models and analyze complex system performance under realistic conditions in one of MATLAB, Python, C/C++ Strong analytical thinking, problem-solving skills, and ability to work
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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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technology policy, depending on the research focus Experience using common research and instructional tools, including: Programming and analysis tools (e.g., Python, MATLAB, GitHub/GitLab) Learning and
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field is required. - 2+ years experience in a wet lab research setting. Preferred Qualifications: - Familiarity with Matlab, Python or R for data analysis. - Research experience involving neuroscience
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++, Labview, MATLAB, Python Expertise in databases, data infrastructure, data governance Expertise in high performance computing using SLURM or LSF Experience with PyTorch, JAX, or Tensorflow Experience with
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programming or scripting skills (e.g., Python, MATLAB, Bash) are a plus Prior experience in amyloid biology, protein aggregation, or disease-related structural research are an advantage. Ability
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academic area (psychology, neuroscience, cognitive science, biology, etc.), strong interpersonal skills, an ability to think critically, troubleshoot, and work independently. Experience with R, MATLAB, and
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analysis or modelling tools—such as Aspen Plus, Matlab/Python, or similar—to help link experimental findings to process or techno‑economic evaluations. What you will do Take courses at an advanced level
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: Knowledge with electrical engineering (PCB design, circuit design, soldering) Familiarity with CAD (Autodesk/SolidWorks) Experience with Python, C++, MATLAB, and MySQL Physical Requirements Remaining in a
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focus on quantum impurity models (particularly Kondo model). • Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques such as exact