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suitability, scientific curiosity, and motivation. Additional merits Experience in one or more of the following areas will be considered a strong advantage: Complex cellular systems, including organoid models
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for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how to develop complement/augment classical CFD methods with quantum
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postdoctoral researcher in a group studying Parkinson’s disease and other alpha-synuclein–related diseases (alpha-synucleinopathies) within the David Bäckström lab (umu.se), primarily multiple system atrophy
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diseases. Programming knowledge in R or Python is a requirement. The applicant should also have experience in machine learning. Experience in analyzing multiple MRI modalities such as sMRI, DTI and fMRI is
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the employer. Our division provides world-leading research and education in the development of complex and software-intense systems and is characterized by extensive international cooperation as
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of the interstellar medium, and/or star formation rate models. Working with survey databases, handling large and complex datasets, and integrating data from multiple instruments. Data analysis and programming