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mechanics, or advanced material behavior. Programming skills (e.g., Python, MATLAB, Julia,..), ideally with experience in numerical methods or scientific computing. Familiarity with machine learning
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the required test scripts in Python/Matlab. c) Propose a test plan and a test setup using semi-automated test procedures. Task 3: Test procedure validation (6 weeks) a) Conduct the proposed test plan
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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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necessary Basic knowledge or interest in fluid dynamics and free-surface flows is required Candidates should have experience with scientific programming (e.g., using python, MATLAB, and C++) Experience and
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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contributions to peer-reviewed journals. Experience of programming (Python or MATLAB) for device control, data acquisition and analysis. A record of high-quality publications as leading author, as appropriate
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- Significant experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; - Familiarity with the basic concepts of quantum information and
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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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optical systems and the use of lasers. Proficiency in data processing software e.g., Python, Matlab. Exhibits excellent professionalism and work ethics, initiative and self-motivation. Strong ability
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mathematical foundation and programming skills in languages such as Python, Java, Julia, MATLAB, R, and/or C++. Expertise in one or more of the following: machine learning, deep learning, HPC, Docker/Singularity