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heterogeneity; namely non-iid and domain shift, e.g. multi-modal data acquired by different scanners and imaging protocols. Publish and present scientific results at international conferences and high-impact
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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, understand its role in therapy resistance, and identify novel regulators using innovative CRISPR screening approaches combined with advanced imaging, single-cell transcriptomics, and phospho-proteomics.
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coherent and incoherent seed sources Implement intelligent control over spectral and temporal shapes of broadband nanosecond laser pulses Broadband UV-generation position Implement nonlinear multi-pass cells
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Assistant (Doctoral Candidate) with specialising in hyperspectral imaging (salary scale 13 TV-L, 75 %) The fixed-term position is for a duration of 36 month in accordance with the project duration. Your role
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, histology, and image analysis to phenotype root anatomy Plant and root physiological measurements QTL mapping and mutant characterization to identify the genetic regulation of anatomy Plant cultivation
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good experience in characterisation of thin films, including X-ray diffraction, electron microscopy (SEM, EDX and TEM), Atomic Force Microscopy (AFM), X-ray photoelectron spectroscopy (XPS), ellipsometry
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mechanisms underlying psychosis. The research utilizes advanced multiphoton imaging and virtual reality platform for simultaneous recording of animal behaviour and microcircuit activity. RESPONSIBILITIES
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training that prepares young scientists for a successful career in infectious disease research. The LIV technology platforms offer state-of-the-art infrastructure for flow cytometry, microscopy and image
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neurons in the brain gives rise to the plethora of animal behaviors. Our research spans a large range of scales from the nano-scale imaging of brain circuitry, to large-scale functional imaging of brain