75 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Leibniz in Germany
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organoids Analyze primary data and integrate results with published scientific data and literature Present research findings at national and international level Draft manuscripts and develop future research
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risk prediction Analysis of primary and secondary data Preparation of reports and English-language publications Presentation of results at conferences Requirements: Completed degree in health sciences
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network analyses experience is useful Experience in data analysis and scientific publication Ability to work in a team, good English communication skills A driver licence is useful Our offer We offer
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6392 58243, sophia.mareck(at)fbh-berlin.de Data protection notice: The above contact details are provided exclusively for interested applicants to get in touch. Enquiries from recruitment agencies
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Data Technologies. Currently, the INP employs about 200 scientists and staff at three locations (Greifswald, Rostock, and Karlsburg). For further information, please visit our website at www.leibniz
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tasks: Designing and perform experimental studies using animal models and human cells Planning and conducting animal experiments Analyzing, document and presenting experimental data and results Actively
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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people from underrepresented backgrounds are ex-pressly encouraged to apply. Female applicants with equal qualifications and suitability will be given preferential consideration. Further information on our
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). Your tasks: Design and conduct research in the above thematic clusters in TropEcS-relevant regions (e.g., Colombia, Indonesia, Peru, India/Kerala) including sampling, analytical lab work and data
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regulating the folding of amyloid proteins in vitro Setting up and implement new workflows to characterize protein assemblies Developing experimental strategies, analyze, document, and present data