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components: Machine-learning development – creating image recognition models to identify photographed butterfly specimens, integrating unidentified samples with validated references in collaboration with
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development – creating image recognition models to identify photographed butterfly specimens, integrating unidentified samples with validated references in collaboration with taxonomic experts. Model
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Image Velocimetry or Lagrangian Particle Tracking is an asset; Affinity with data processing techniques and programming (Matlab and/or Python); Hands on with lab-work, skilled in experimental design and
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project, you will design and extend an experimental setup to measure the responsiveness chlamydomonas reinhardtii to light by imaging their motion. On the theoretical side, you will develop models
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how these abiotic-biotic interactions create value for society, following for examples of the “Building with Nature” paradigm or investigating sustainable sources of marine biomass for food. THE PROJECT
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configurations. Living systems exhibit fascinating traits such as optical flow imaging, efficient information processing, real-time navigation, and dynamic correction. Exploring these features could inspire next
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integrated with ultrasound transducers, working towards precise and steerable neuromodulation of the peripheral nervous system. Our research has progressed from initial prototype development to current in
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on human health across the life course, and the detailed biological processes that play a role, are not well understood. The aim of this project is to use population-based cohort data to examine the
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imaging of these processes in real time and at high resolution is urgently needed. To this end, we will perform electrochemistry inside the transmission electron microscope, which is expected to provide
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embryogenesis). We have a strong interest in transcriptional regulation of these developmental processes. Where to apply Website https://www.academictransfer.com/en/jobs/349677/postdoc-understanding-asexual-e