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Field
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, genomics, molecular biology, computational biology, or a related field Hands-on wet-lab experience with sequencing-based assays (RNA-seq, single-cell genomics, or related methods) Experience working with
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data
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14.12.2022, Academic staff The BMBF-funded position is part of the CoMPS project, which is a multidisciplinary project combining the fields of mathematics, computer science, geophysics, and high
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▪ Above-average university degree in electrical engineering, communications engineering, mathematics, physics (or similar) with thorough knowledge in quantum information and communication theory, as
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for strong computational/mathematical skills with experience working with large, high dimensionality sequencing datasets, and biostatistics. Preference for fluency in shell, python, and R, and a familiarity