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multi-disciplinary research environment organized within a structured PhD program that enables to complete a doctoral thesis within three years. Topics: Researchers of several disciplines
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research environment organized within a structured PhD program that enables to complete a doctoral thesis within three years. Topics: Researchers of several disciplines are collaborating in ScaDS.AI
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Master degree in biology, biochemistry, bioinformatics, or similar Good knowledge of molecular biology, e.g. DNA metagenomics Knowledge of bioinformatics and statistical tools is needed Programming and
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Master degree in biology, biochemistry, bioinformatics, or similar Good knowledge of molecular biology, e.g. DNA metagenomics Knowledge of bioinformatics and statistical tools is needed Programming and
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS, Department Statistical Methods in Epidemiology, offers a position as a Statistician/Biometrician (PhD student) m/f/d/x Salary
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
at the Max Planck Institute for Demographic Research. Eligibility Please visit the HKU website for the admission requirements for the PhD Programme as well as the programme website for specific details
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America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School training programs
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in programming would be highly beneficial. A good command of English is essential because it is the local working language and is required for our international collaborations. The PhD positions
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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) for simplified data storage and submission Collaboration on tool development for multi-omics data integration (genomics, transcriptomics, proteomics, metabolomics, lipidomics), statistical evaluation and