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-antibodies. You will focus on the identification of these antibodies by using mass spectrometry based de novo sequencing, machine learning and AI-tools to interpret the data. Your job The primary objective
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school science teaching. The ideal candidate for this position has a background in physics and is committed to conducting independent and original scientific research. The results of this research will be
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open-mindedness, cultural sensitivity, and communication skills for ethical engagement, inclusiveness, and co-creation with local communities. Your qualifications and experience: A master's degree in the
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://www.universiteitleiden.nl/en/science/mathematics . What you bring The successful candidate is expected to have: A master in statistics, (applied) mathematics, machine learning or a closely-related quantitive discipline (to
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research areas may include: Developing and evaluating methods for generating synthetic healthcare data from real-world primary care sources. Assessing the utility of synthetic data for population-level
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, and how cause and effect is described. This is what you will do If hierarchies are so important, why are they not central in neural networks already? The reason is geometry. The main advances in neural
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main workplace will be the Brightlands Campus Greenport in Venlo, where you will join the Plant Computational Biology group led by Dr Ruth Großeholz. This group focuses on modelling and analysing plant
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Arie van Steensel. You will conduct independent and original academic research and report results via peer-reviewed publications, conference presentations, and ultimately a PhD dissertation. You will
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high-throughput imaging with integrated cathodoluminescence (CL) detection enabling large-area imaging of biological samples. This four-year research programme will proceed in three main phases. In
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three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam