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Field
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related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for
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Summary To perform scientific research, specifically research activities related to X-ray crystallography and bioinformatic analysis of proteins and to report results ready for publication and/or use
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isotherm parameters directly from molecular properties. These predictions will be integrated into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive
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Learning about protein design and engineering Exploring cell-based and cell-free screening Applying high-throughput screening Utilizing bioinformatics, machine learning, and other computational approaches
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helping to train junior students, as well as presenting findings in internal meetings. Ideally, they also bring: experience with bioinformatic tools or genomic annotation, exposure to neuroscience
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techniques are considered an asset. Experience with bioinformatics approaches to biological data and familiarity with the handling of genomics and next-generation sequencing data will be an advantage
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(if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft
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bioinformatics. Computational resources are available for large-scale analyses allowing for a unique opportunity for a fellow to obtain unique training and experiences to fit into their professional development
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experience in machine learning and parallel computing Good organisational skills and ability to work both independently and collaboratively Experience with deep learning frameworks, such as Tensorflow
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), functional mechanisms (Spratt et al. Neuron 2019), regulatory processes (Liang et al. Genome Medicine 2021), ultimately leading to a potential therapy (Tamura et al. BioRxiv 2022). By focusing on human