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Job Description Many industrial processes generate wastewater with small oil droplets stabilized by surfactants, the same goes for accidental spills of fuels incl biofuels and various process oils
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hospital environment. Responsibilities and qualifications The principle responsibility of the postdoc is to implement an improved processing pipeline for SURE and ULM imaging, which can be used in both a
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experiment and data modeling approaches. Required qualifications PhD in molecular biology, biotechnology, bioengineering, bioinformatics, chemistry or related fields. 3+ years hands on experience with high
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international, collaborative, ambitious and innovative research
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embedded in nanoscopic droplets of superfluid helium. Specific projects include, but are not limited to: 1) Time-resolved imaging of cation-molecule complex formation 2) Time-resolved stereodynamics
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of fixed carbon in seagrass meadows: incl. decomposition processes, leaf decay rates and greenhouse gas emissions. Mentor PhD students within the focus of the research project. Qualifications Applicants must
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academic or industry leadership roles. Your profile Applicants should hold a PhD in Computer Science, Electrical Engineering, Computer Engineering, Telecommunications, or a similar field, with a strong
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embedded in nanoscopic droplets of superfluid helium. Specific projects include, but are not limited to: 1) Time-resolved imaging of cation-molecule complex formation 2) Time-resolved stereodynamics
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disease diagnostics. Responsibilities: Design, prototype, and test microfluidic systems for point-of-care biosensing applications Develop implantable or wearable devices for real-time in vivo diagnostics