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sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is
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for “what-if” scenario analysis derived by Integrated Assessment Models (IAM). You will develop different pathways based on multiple realisations of CMIP6 and/or CMIP7 datasets, aligned with IPCC scenarios
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interest in the human brain. Programming experience (Python, MATLAB) and proficiency in spoken and written English is required. Experience with or an interest in microscopy, quantitative image analysis
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have: MSc in engineering or similar discipline by the start date of the position Experience with mechanical modeling and simulation Experience in computer programming/scripting (e.g., C++, Python, Matlab
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programming skills are a plus: MATLAB, Python, Git Fluency in English An open personality and good communication skills in written and spoken English. TU Delft (Delft University of Technology) Working at TU
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: Completed, or soon-to-be completed MSc in the biological sciences or different fields in the natural sciences (e.g. computational, mathematical, earth or marine sciences) with a strong interest in ecology and
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Requirements Master Degree in Electrical Engineering Experience in design and implementation of analog integrated circuits Experience in using Cadence, Spectre, ADS/Momentum, Matlab Highly motivated student
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explore, and how different ways of structuring learning environments influence curiosity and learning. Computational models will be used to characterise individual differences in information-seeking
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Agency funded BILMo (Biodiversity Inspired Lake Modelling) project, which aims to upgrade different mechanistic lake models to 1) predict diversity and community composition responses to combined gradients
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numerical experiments; programming experience in a language such as Python, Julia, MATLAB, C or C++; good written and spoken English; the ability to work independently while also collaborating in