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Multiphysics, MATLAB, or Python Familiarity with device-level simulations and multi-physics approaches Self-motivated and able to work independently while contributing to a collaborative research environment
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programming (e.g. Python, Matlab) is desirable Interests in issues about decarbonization and multi-energy systems Excellent ability for cooperative collaboration Good knowledge of written and spoken English
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. - Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus. - Curiosity to research and develop new solutions in collaboration with senior and
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team spirit. Preferably, you have experience in programming (Python, Matlab, R) Additional Information Benefits We will give you a temporary employment contract of 1 year. Your salary within salary scale
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to properly report, organize and publish research data Good command in spoken and written English ADDITIONAL SKILLS Programming skills in Python and MATLAB Previous experience thermographic imaging Good
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spectroscopy and optical microscopy is expected. Familiarity with Matlab, Python, FORTRAN/C/C++, LaTeX, and other software tools will also be appreciated. Website for additional job details https
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tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages
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been completed earlier. Additional requirements Very good oral and written proficiency in English. Experience of programming, for example in Matlab, Python, Julia or R. Assessment criteria This is a
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their performance. The modelling and implementation shall exploit the latest paradigms in programming and modelling languages, such as Python, Matlab/Simulink, etc. Another option is to exploit Machine Learning
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
, or similar platforms for thermal and fluid dynamics simulations. Strong programming skills in MATLAB, Python, R, or similar. Machine learning or data-driven modeling experience applied to environmental control