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Field
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Knowledge of electronics, programmable logic, and processing systems is an advantage Strong analytical and programming skills are required (Python, VHDL, Matlab, and C/C++). Prior proven experience in data
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areas: Knowledge of computer science and operations research Familiarity with renewable energy systems and their challenges Proficiency in programming languages such as Python or Julia Strong problem
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business datasets (e.g. ORBIS, Foreign Direct investment Data - UNCTAD) and appropriate experience with statistical software (e.g. Stata, R, Python). They will have a good understanding of, and interest in
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field of study Interest in energy technology and energy economics Experience in energy system modelling is an advantage Basic programming skills, ideally in Python Independent and analytical way
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one programming language (e.g., Python, Matlab, Stata, Excel, R). Fluency in English, both written and spoken. Familiarity with the policy context in The Netherlands, as well as the ability to write and
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starting the PhD). The candidate must be qualified for admission to the ph.d. program Strong background in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python
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mathematics or computer science Must have programming skills in programming languages such as Matlab and Python Preferably have a proven track record of good publications in mathematics or computer science
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in an applied engineering environment. Desired skills Excellent mathematical and programming skills, including experience creating effective code in Python, R and Matlab. Knowledge of chemistry and
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
will be trained is some of these different skills: Micro/nanofabrication Simulation/design of optical components Integrated photonic circuits Programming skills in Python, C/C++ Theory of electromagnetic
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should