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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex
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one or more programming languages, preferably Matlab or Python, is considered an asset. Demonstrated ability to produce high-quality publications. A desire to help lead an integrative and motivated
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Qualifications (Strongly Preferred but Not Required) Coursework or experience in data analysis, statistics, or programming (e.g., Python, R, MATLAB, SPSS). Students from computer science or closely related fields
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software. Expert-level knowledge of MATLAB and Python (or equivalent) for data analysis and simulation. Ability to work a non-standard work week as required to support project deliverables and schedules
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proficiency: Matlab, Python, R, SPM, CONN; Very strong knowledge of neurophonetics, particularly stuttering and verbal disfluencies; Solid background in neuroscience and in the neuropsychology of language and
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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | about 2 months ago
. - Computer operating/programming skills: Microsoft Office Suite, C++, Labview, Matlab, COMSOL, IDL, Python or other programs for data and image processing; A high level of intellectual curiosity, analytical
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Longitudinal neuroimaging analysis Programming in Python, R, and/or MATLAB Reproducible research practices and Git-based version control Preferred technical depth Neuroimaging software: FSL, FreeSurfer, ANTs
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Matlab or equivalent programming languages (e.g. R, Python) Database and project management skills Knowledge of statistical techniques Good information technology and computing skills and experience with
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degree in Economics (Master of Science degree of advantage) ; Demonstrated experience in programming languages such as Stata, R or Python. Previous knowledge of Dynare, GIS and/or Matlab applications and
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engine dynamometer experiments, including instrumentation, data acquisition, and test planning Develop and maintain physics-based modeling tools, including custom solvers written in MATLAB, Python, Fortran