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the design of the nozzle. The work will include the design of a scale- up dispersion system and perhaps the construction of a large-scale dispersion system which can be tested at ground level. There is no
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from which a continuous emulsion flow and recycled gas flow is taken. The work will include the design and scaleup and perhaps the construction of a large-scale system which can be tested at ground
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from which a continuous emulsion flow and recycled gas flow is taken. The work will include the design and scaleup and perhaps the construction of a large-scale system which can be tested at ground
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the design of the nozzle. The work will include the design of a scale- up dispersion system and perhaps the construction of a large-scale dispersion system which can be tested at ground level. There is no
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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that require treatment while reducing unnecessary detection of slow-growing cancers. You will play a key role in a large mixed methods project as a qualitative researcher conducting focus groups, interviews and
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contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models, alongside complex drug screening, efficacy
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
investigate the large area production of graphene, BN, MoS2 and other layered materials, optimize their transfer process in view of their application in energy, electronics and photonics. This will include
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-approved systems. Ensure adherence to data security and compliance protocols. Preferred Qualifications MSc or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field. Strong