37 engineering-engineering "https:" "https:" "https:" "https:" "https:" "CNRS" Postdoctoral positions in Netherlands
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. Candidates with an MSc in Chemical Engineering, Materials Engineering, or Mechanical Engineering are also welcome to apply, particularly if their thesis work involved soft matter . Experimental Skills
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-wide collaborations such as the TechMed Centre and the Design Lab About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics
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chip integration. Your profile You have a PhD degree in materials science, surface science, applied physics, physical chemistry, nanotechnology, mechanical engineering, or a related field. You have
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chip integration. Your profile You have a PhD degree in materials science, surface science, applied physics, physical chemistry, nanotechnology, mechanical engineering, or a related field. You have
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@utwente.nl ). Screening is part of the selection process Apply now Share this vacancy About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics
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genome data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated microbiomes
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in outreach activities, all generally but not exclusively related to your research topic. You are encouraged to visit the ESA website at https://www.esa.int/ Field(s) of activity/research for the
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challenge as we lack a blueprint that allows for a bottom-up engineering approach. At the same time, there is an experimental bottleneck: the number of ingredients (lipids, amino acids, cell-free gene
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: 2 October 2026 Apply now The Department of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth Sciences, Civil or Hydraulic Engineering, or other appropriate
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, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with deep generative models (VAEs, GANs, diffusion