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Field
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postdoctoral research positions within a multidisciplinary project supported by Schmidt Sciences under the VIEW programme. The project, in collaboration with Imperial College London, EPFL, and multiple partners
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effects. The candidate must have a strong background in signal processing, data analyses (in both time and frequency domains) and programming (e.g. MatLab) and have experience with the collection
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core network protocols Proficiency in multiple programming languages including bash scripting, MATLAB, C/C++ and Python. Other simulation languages such as JULIA are pluses Working knowledge
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for injection of chemical and viral vectors, and for implantation of multiple stimulation and recording electrodes. Designs, executes, and analyzes research studies using intracranial EEG data from animals
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fields; proficiency in evaluating the effectiveness of learning materials; strong track record of working both independently and collaboratively; be organized, able to lead multiple projects simultaneously
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experience with MRI acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with
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, or computational research, or demonstrated ability to quickly learn and apply MATLAB in a research environment. The postdoctoral scholar should be highly self-motivated, organized, and capable of managing multiple
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the dynamics of psychiatric symptoms and brain function. The postdoctoral scholar will have opportunities to work with multiple complementary datasets, including large-scale developmental neuroimaging cohorts
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synchronous, monolithic system into multiple decentralized, modular asynchronous grids. AAU Energy is dedicated to contributing to the development of innovative concepts and technologies that will not only make
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multiple fields, including mathematics, physics, artificial intelligence (AI), bioinformatics, and biological sciences. Researchers work closely with experimental biologists to ensure that computational