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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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inheritance patterns. Establish advanced imaging techniques for in vivo tracking of cytoplasmic genomes. In addition to specific research tasks, we would also like to provide a platform for you to take
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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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on questionnaires, extensive in-person measurements at the Generation R research center, and advanced molecular and imaging data. You will use environmental, biological and health data for this project. Your task
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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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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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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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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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Structure and Function, Plant Development, Biomolecular Imaging, Plant Regeneration, Protein Folding and Stability, and Green Mechanobiology. Additional Information Benefits Wageningen University & Research