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Field
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential
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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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KEY RESPONSIBILITIES: Design and execute experiments in molecular biology, biochemistry, and single-molecule imaging. Perform RNA-Seq and bioinformatic analysis of phage-infected bacterial
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laboratory in the Department of Genetics at Rutgers. The laboratory research uses mouse systems to study processes relevant to human reproduction using genetics, molecular biology, biochemistry, cell biology
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of behavior, such as chronic pain and the biological basis of neuromodulatory therapies for chronic pain. The position involves conducting experiments using immunohistochemistry, confocal imaging, whole-cell
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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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expertise in advanced immunology, histology, flow cytometry, confocal microscopy and image analysis techniques. Experience in different national and international laboratories is a positive aspect to be
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expertise in advanced immunology, histology, flow cytometry, confocal microscopy and image analysis techniques. Experience in different national and international laboratories is a positive aspect to be
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applications. As a Postdoc candidate at TU Delft, working in close collaboration with a PhD student and our industrial partner Delmic and academic partner AMOLF, you will develop a proof-of-concept prototype