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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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statistical analysis and coding in MATLAB/Python. The lab’s research focuses on understanding neural circuits in the descending auditory system, specifically how auditory brainstem neurons encode acoustic
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record is as one reference Proficiency in programming tools (e.g., Python, MATLAB, or C++) for data processing and model development is preferred. Proficiency in English and good communication capabilities
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: Matlab/Simulink. Python. PSCAD. OpenModelica. Specific Requirements Knowledge: Power Systems. Stability Analysis. Converters and networks. Modeling and Simulation. Professional Experience: Experience in
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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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isotopic data, geochemical software packages and coding e.g. in python, R, Matlab etc. Additional Information Eligibility criteria Mandatory: *PhD in geology, geochemistry or analytical chemistry. *2/3 years
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genomic data using existing tools or develop new algorithms to facilitate novel discoveries. Programming skills in one of the following: Python, C/C++, or Java. Minimum Qualifications Bachelor’s Degree
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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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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
, particularly using MatLab and/or Python. Legislation and other applicable regulations: Research Fellowship Holder Statute enacted by Law no. 40/2004 of August 18th, as amended; FCT Research Grants Regulation
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Project Officer (Civil Engineering/Materials Science/Mechanical Engineering/Construction Technology)
design tools (e.g., generative design, parametric modelling). Basic proficiency in engineering and data software (e.g., Python, MATLAB, AutoCAD, Rhino/Grasshopper). Understanding of sustainability concepts