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semiconductor devices is helpful Basic programming skills (e.g. Python or MATLAB); prior simulation experience is an advantage Interest in nanoscale transport phenomena and physical modeling Independent
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science, electrical engineering or a related discipline Solid background in solid-state physics and/or semiconductor devices is helpful Basic programming skills (e.g. Python or MATLAB); prior simulation
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visualization using tools such as MATLAB, Python and R. ● Collaborate with the team to integrate genetic and genomic data with clinical and imaging data to improve disease modeling. ● Present findings in
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, C/C++, GOAL, OGR, Pandas/GeoPandas, R/R-spatial, MATLAB, FORTRAN, and NetworkX. Proficient with both QGIS and ArcGIS for cartographic production and tool development. Familiarity with legacy
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, multi-task and pay attention to detail. Relevant research experience, knowledge of statistics, and familiarity with programming languages (e.g. R/Python/Matlab) are highly desirable. Prior experience
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sequence optimization using phantom solutions as well as proficiency in Siemens Idea Compilers (VE11c, XA 30, XA31, XA 60 and XA61) and Matlab-based MRSI raw data extraction and linear as well as non-linear
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electron microscopy, advanced image analysis and programming (e.g., scripting in Digital Micrograph, Matlab/Python). This full-time position is available as early as fall 2025, for a period of one year with
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including proficiency with Python and Matlab. Strong communication and interpersonal skills. Review of applications will begin immediately and continue until the position is filled. To apply, please submit a
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computer science and/or information technology courses, face to face, as needed. Introductory computer science courses require knowledge of Python, C, C++, or Matlab programming languages. Introductory
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such as for example Superconducting Quantum Interferometers and Cavity Magnonics Interferometers. Ability to maintain and develop tools for more advanced experiments by using Python, MATLAB, COMSOL and