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Field
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commensurate with their essential status should be afforded, independent of the postdoc's source of funding. Responsibilities: Perform advanced computational analyses on longitudinal brain imaging and behavioral
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using R for statistical analysis and in statistical modeling. Sound working knowledge of unix shell, high performance compute clusters and git. Willingness to learn and use a scripting language (e.g
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. Zou, which includes access to high performance computational resources with GPUs, conference travel support, and great opportunities for collaboration and networking with experts in Industrial
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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-of-use water filter during use. Methods are expected to use LC-MS/MS and GC-MS workflow. These methods would be applied for laboratory testing and in a pilot testing program. Job Description Primary Duties
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language models (gLLMs) with their applications to genetics, e.g. in identifying causal genes for Alzheimerâ™s disease (AD). You will have access to state-of-the-art computational infrastructure such as A100
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opportunities to work with leading experts, including: Wei Jin (Computer Science) Ben Lopman (Epidemiology) Katia Koelle (Biology/Virology) Postdocs will be supported in professional development, including
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research findings at scientific meetings. Experimental execution: Design, perform, and analyze complex cell and molecular biology experiments with a high degree of independence and technical proficiency
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creating the fastest algorithms for modeling of entanglement purification circuits; creating the highest performance quantum error detection circuits; developing symbolic computer algebra systems for quantum
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computational infrastructure such as A100 and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research