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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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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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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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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
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software. Experience programming with MATLAB, C++, or Python. Experience in modeling electric motors and electromagnetics. Hands-on experience designing and fabricating electric motors. Strong knowledge
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knowledge and skills in machine learning - Significant experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; - Familiarity with the
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detailed documentation. • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.). • Perform statistical analysis, including regression analysis and machine learning techniques
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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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reviews to guide experiment design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory
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programming languages (e.g., MATLAB, R, or Python) Excellent communication skills You will have in-building access to mouse laboratories as well as access to state-of-the-art research equipment in metabolomics