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. Strong hands-on experience in bacterial microbiology, genetic engineering and bacteriophage methods is essential, together with some exposure to microscopy and quantitative data analysis. Experience with
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deployed through conventional casting for standard applications and through 3D printing for complex or non-planar geometries. In parallel, circular end-of-life strategies will recover fibres, upcycle fines
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, biomedical engineering, computer science, psychiatry, neurology, or a related field Required Qualifications: Strong experience in (i)EEG and/or fMRI data analysis. Strong record of peer-reviewed scientific
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work duties after employment. Required selection criteria You must have a relevant Master's degree in physics, mathematics, biomedical engineering, computer science or equivalent. Your course of study
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‑dependent data is often unavailable and many traditional monitoring methods are too resource‑intensive or unsuited to the complex, delicate habitats used by juvenile fishes. This project aims to offer both
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; Master’s degree (MA or MSc/MSc Eng.) in biological, neurobiological, medical, or health sciences, or a related field; Very good command of English (minimum B2 level); Proficiency in data analysis software
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that continuously probe complex nucleic acids: that’s your challenge! Information Nanoswitch sensors are nanometer-scale constructs that change their configuration upon molecular binding and enable the continuous
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expertise: Bioinformatics experience A PhD student with bioinformatics experience will generate and analyse complex microbiome sequence data to complement existing rumen microbiome datasets. Via multi-omics
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
the sensitivity and uniqueness of information used to express user intent, and estimating the consequences of data leakage, including re-identification risks. Sensitive data-flow analysis: tracking how personal and
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and analytically strong researcher with a broad interest in climate, land use and sustainability. You quickly acquire new knowledge, critically assess complex information and communicate your findings