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to have finished their (R)MA programme before the interviews. A special interest in and knowledge of political theory and labor politics (demonstrated by a BA or MA thesis, publications or previous research
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the impact of harmonic losses in power transformers. Your R&D work involves the development of a frequency-dependent analytical model for harmonic losses in power transformers with different core magnetic
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important than your choice of specialization in your master’s. Good scientific programming skills, e.g. in R, Python, C++, Julia, etc. You are proficient in English. Additional Information Benefits As a PhD
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as well as field measurements; have demonstrable experience with statistical approaches, for instance within R or Python, bioinformatic or process-modeling experience would be an advantage; are able
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funded project POMATO (Effective management strategies to tackle C. sepedonicus and R. solanacearum on POtato and toMATO crops) you will work to understand how to safeguard the health of potato and tomato
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Experience with: Software such as matlab, python, R studio or equivalent Software such as gPROMS, Aspen or equivalent Bioprocess engineering background TU Delft (Delft University of Technology) Delft
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analysis, and AI-driven biomedical applications. - Strong programming skills (Java, R or Python preferred) and experience with machine learning are a plus. - You have a talent for communicating results and
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in R, Java, or Python). Additional Information Benefits - A dynamic research environment at the forefront of AI-driven healthcare innovation. - Access to diverse, real-world medical data sets and
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measurements, to better understand the various degradation modes and propose design and control strategies to mitigate them. As part of the ~50 Mio€ ‘HyPRO’ project, the largest ever R&D project on green
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, Industrial Engineering, Applied Mathematics/Statistics, Systems Engineering, or Computer Science, or has equivalent experience. Technical Expertise: Demonstrates proficiency in programming languages such as R