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Vacancies PHD POSITION ON MULTILAYER GROWTH OPTIMIZATION BY HYBRID X-RAY METROLOGY (MOXY Key takeaways Nanometer-thin films are enabling factors in many advanced technology fields such as
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variability. In this PhD project, you will develop and apply cutting-edge analytical chemistry techniques to tackle this challenge. Using both targeted and non-targeted liquid chromatography–mass spectrometry
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degree in data science, computer science, business analytics or a similar field; Four to seven years of relevant experience in BI roles; Strong command of Power BI (including advanced DAX and data
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: • performing LC- and GC-based analyses in various projects; • data analysis and reporting to the project leader; • method improvements and validations; • drafting Standard Operating Procedures (SOPs). Of course
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in chemistry, biochemistry or process engineering with a focus on ECLS and genomics is required for this post. Preference will be given to applicants with a PhD. Additional requirements Knowledge
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 31 August 2025 Apply now Are you eager
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to collaborate with other research groups at LIACS; for example, data science, text mining, and algorithms. LIACS has an active PhD community that organizes seminars and social events specifically for PhD students
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. This proposal should be uploaded to the "additional documents" field of the "application information" section. You should have: You should hold a PhD in systems engineering, computer science, informatics or a
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Project description This PhD project aims to support the transition towards a more sustainable and circular healthcare sector by investigating and promoting sustainable behavior change among