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in Mechanical or Electrical Engineering, Computer Science, or a related field. Fluency in at least one common computer programming language is required. English fluency is expected. The candidate must
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(quantitative and/or qualitative) Experience with programming tools Excellent communication skills in English; other languages are an asset Ability to work independently and collaboratively in a research
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engineering Engineering » Process engineering Environmental science » Natural resources management Technology » Chemical technology Technology » Environmental technology Technology » Production technology
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respective training course. Taking initiative comes natural to you. You are a team player with excellent communication skills. You are fluent in English, both orally and written. You are motivated to work in a
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materials (per- and polyfluoroalkyl substances) are synthetic molecules with important applications, but they are also feared because they are not or hardly broken down in nature and thus end up in the food
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engineering Engineering » Thermal engineering Engineering » Civil engineering Environmental science » Natural resources management Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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chemical processes. At its core, PRIME LEAP tackles one of the greatest challenges in modern chemistry: the sustainable and efficient conversion of methane. As both a major component of natural gas and a by
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of the Flemish VLAIO Flux50 SBO-project "NudgeFlow: The next generation of residential ventilation - tweaking the natural air flow with distributed components", we are offering a PhD position focused on developing
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more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation
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. Extracting this information is still a challenge though, given its intrinsic multidimensional nature (time, perturbation, tissue position, cell state, statistical power). With modern probabilistic modelling