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to identify genetic and genomic features that may convey protection against aging and neurodegeneration. This senior bioinformatics postdoc will be expected to contribute actively to the scientific endeavors in
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, biochemistry, biotechnology, bioinformatics, computational biology, biostatistics or a related field. Experience in either experimental or computational biology Fluency in written and spoken English Our
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monitor quality of the processes and assist with troubleshooting and procedure adjustment where required. You will also contribute to the bioinformatic analysis of whole-genome sequencing data generated
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in creating and evaluating machine learning models.•Familiarity with deep learning framework, such as PyTorch or Tensorflow.•Experience in data preparation, preferably in a bioinformatics context (data
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, creative and cooperative. Experience with techniques such as iPSC culture, genome engineering, advanced fluorescence microscopy, transcriptomics and/or bioinformatics is an asset. You are motivated to work
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at trace levels (by LC and/or GC-(HR)MS) in different matrices. Additional experience with consumer (polymeric) products and leaching testing will be beneficial. You have experience in bioinformatics
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. Collaboration with and supervision of bioinformatics Master’s and PhD students will support the integration of circuit and behavioral data with transcriptomic and proteomic datasets generated within the project
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/or cells) for MS-based metabolomics and lipidomics. You have experience in bioinformatics to process HRMS data for statistical analyses and biomarker discovery. Your research qualities are in line with