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carriers within defects. The charge transport will be implemented stochastically to mimic nature. A significant focus of the project will be to apply machine learning techniques to optimize the model and
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, you must hold a PhD degree (or equivalent). The successful candidate must moreover exhibit the following professional and personal qualifications: Strong background within machine learning/deep learning
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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which
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in combination with computational biology approaches to generate comprehensive models of gene regulation during development and diseases such as cancer and neurodevelopmental disorders. To learn more
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Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
approaches—combining additive (MIG welding-based) and subtractive (CNC machining) processes—for the refurbishment of industrial components. The postdoc will focus on characterizing material interfaces and
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Postdoc in atmospheric chemistry on investigating the phase behavior of secondary organic aerosol...
to learn and will get the opportunity to develop new skills. We are seeking a highly motivated postdoctoral researcher who will help develop new methods to probe aerosols phase behavior and who actively
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of extension for three years. Tiwari lab employs cutting-edge genomics and molecular biology technologies with bioinformatics and machine learning to decipher principles of gene regulation. In this project
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for three years. Tiwari lab employs cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation. In this project, the candidate
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infrastructures (like Kubernetes) for large projects and/or in developing machine learning solutions is a plus. In addition, the capability to successfully conduct research projects in interdisciplinary
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crystallography or cryo-EM). Photoactive proteins experiments. Mammalian cell culture. Computational skills : De novo protein design. Training and fine-tuning of machine learning algorithms. Molecular docking