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Field
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candidate will work closely with wet-lab scientists and will play a central role in the development, implementation and application of bioinformatics pipelines for gene expression analysis, with a particular
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in pediatric gliomas. The successful candidate will work closely with clinical, experimental, and computational collaborators across McGill and Case Western, contributing to both wet-lab and
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spoken English skills High degree of independence and commitment Experience in relevant work tasks are advantageous but not mandatory: Wet-Lab work, ideally with sperm cells and/or labelling, Different
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whether the environment is indoors or outdoors, environmental factors, presence of obstacles, water moisture, and other factors. Professor Salous and her group at Durham have been building channel sounders
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wet-lab skills in protein handling and functional biological assays Ability to work independently and drive experimental projects It is an advantage if you have experience with: Protein–protein
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include: Developing deep learning models for spatiotemporal fusion of multi-sensor satellite data (e.g. SAR and SMAP), with soil moisture as a target variable. Designing and evaluating deep learning
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production via at least one of the following techniques: magnetron sputtering, electrodeposition, wet chemical methods. The catalysts will be characterized via XPS, XRD, and electron microscopy and we will
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problems are: bubbly flow, emulsions, sedimentation, wetting, gas-mixing, red-blood cell flow in the human vasculature. We are seeking a candidate who is intellectually curious and enthusiastic about
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datasets. Experience in workflow development and working with high-performance computing systems and code sharing. Candidates with experience in any of these are also encouraged to apply: Wet-lab skills
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interactive team environment. Must have a desire to design, execute, analyze, archive, review wet lab experiments in a manner that is scientifically justifiable, reliable and understandable to others under