123 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers in Germany
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backgrounds are ex-pressly encouraged to apply. Female applicants with equal qualifications and suitability will be given preferential consideration. Further information on our equal opportunities measures and
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strategies in accordance with ISO 19880-9 Independent performance of experiments with gas measurement technology and data collection and analysis using Origin, KNIME, and/or Python Writing project reports in
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Doctoral and Postdoctoral Researcher Positions in the Cluster of Excellence “Balance of the Microver
microbiome stability, resilience, and tipping points, using model systems and clinical data to uncover what drives changes from health to disease Our Microverse Mission: We integrate insights across ecological
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machine learning, AI, and computational data analysis Solid understanding of biological and biomedical concepts, particularly in genomics, transcriptomics, or single-cell technologies Proven experience
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Demonstrated creativity, independence, and scientific excellence Experience working with large-scale data, modeling, or AI/ML methods is an advantage If you fulfill all the requirements, you may be eligible
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new challenges in personalized oncology through the MASTER program. This prospective registry trial employs very comprehensive molecular profiling and integrated data analysis (WGS/WES, RNA sequencing
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Provide scientific support during the establishment of an integrated federal data infrastructure Scientific research in the field of artificial intelligence for Public Health, in particular: Strategically
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(to be sent in electronic form only) must include: a tabular CV with information on the scientific career a list of publications and third-party funding a list of any teaching experience and/or teaching
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analysis of NGS data (ChIP-seq, CUT&Tag, RNA-seq, ATAC-seq) Demonstrated ability in writing scientific reports and papers Proficiency with MS Office, graphic programs (Illustrator, ImageJ), statistical
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contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 10,000 employees of KIT cooperate in a broad range of disciplines in research