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toolboxes MATLAB/Simulink/Simscape, Python, CasADi, fmincon, etc. Preferred qualifications Writing scientific papers PhD study experience in a related field. Awareness of diversity and equal opportunity
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). • Experience in programming skills (e.g. Python, Qiskit, MATLAB, C, numerical simulations). • You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
to financial and economic time series, working with programs such as MATLAB, Python, and C++. The chosen candidate will have the opportunity to take courses and attend seminars at MIT. The ideal candidate will
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dynamical systems), epidemiological modelling, data analysis (statistics, machine learning). • in scientific programming (preferably Python, Matlab, R) Genuine interest in the analysis and modeling
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. Experience with relevant software tools (e.g. Abaqus, ANSYS, MATLAB, Python) and an interest in developing industry-ready research tools are strongly encouraged. Conducting high-impact research in composite
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software. Experience with MATLAB, C++, or Python. At least 7 years’ relevant experience with modeling of electric motors and electromagnetics. Experience in designing and fabricating electric motors
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skills (Python, Matlab, R) applied to numerical modelling and data analysis. FORMALISATION OF THE APPLICATIONS The applications will be formalised by submitting a specific form in INESC TEC's website
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analysis, for example with Python or Matlab. Consideration will also be given to how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand
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Qualifications -Experience using MATLAB, Python, or other programming languages for operation of FUS systems -Experience developing or operating prototype instrumentation, particularly systems involving high
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skills (e.g., python, Matlab) excellent written and spoken English language skills Preferred qualifications: experience with speech and audio foundation models experience with signal processing algorithms