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Field
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Imaging of mouse bone marrow Analyses of clinical data and correlation with wet lab findings Your profile Master degree (or similar) in molecular biology, biomedicine, biotechnology, bioinformatics or a
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addition to these core activities, you will perform bioinformatic analyses using your own data and large public data resources and integrate your findings with clinical data (symptoms, EEG, etc). Finally, you will
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of genomic data using bioinformatics protocols is advantageous. BENEFITS: • 5 weeks of paid holiday yearly, subsidized lunches in our own canteen • Pension insurance contribution, support of leisure sport
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factors involved in the onset and progression of dementia. Advanced computational methods, including bioinformatics pipelines and machine learning, will be employed to uncover putative biomarkers and
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. Previous experience in modelling or computation is highly desirable. Additional knowledge or experience in Neuroscience, Air Quality, Public Health, Bioinformatics, Mental Health or Psychology will be valued
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biology, biomedicine, biotechnology, bioinformatics or a related field Experience in molecular biology methods (e.g. PCR, NGS, cell culture) and/or functional cell assays Strong interest in cancer biology
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of bioinformatics, biology, or related fields - M.Sc. is required. Key qualifications and qualities include: Experience in bioinformatics/computational biology; experience in protein structure prediction is
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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potentially to assess leverage points identified in this study Your profile Master degree (or similar) in molecular biology, biomedicine, biotechnology, bioinformatics or a related field Experience in molecular
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population genetics, comparative genomics and/or the analysis of genomic data using bioinformatics protocols is advantageous. Additional Information Benefits • 5 weeks of paid holiday yearly, subsidized