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computational methods for data analyses Experience in epidemiological research or large-scale observational studies Outstanding analytical and communication skills Ability to work collaboratively in a dynamic
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Analysis and other analytical methods Profile: We are looking for highly motivated candidates (m/f/d) with a PhD degree in inorganic chemistry, organometallic or organic chemistry who are interested in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
22 Feb 2025 Job Information Organisation/Company Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt Research Field Medical sciences Researcher Profile Recognised
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
technics interacting with interdisciplinary teams …then join our lab and research with the dresdencondensates.com community! Essential qualifications PhD in biology, chemistry, life sciences or related
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04.12.2024, Wissenschaftliches Personal Profs. Margaret E. Roberts and Yannis Theocharis are inviting applications for one PhD position (3 years) and one Postdoctoral Researcher position (3 years
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insights from large data sets. The IEG is part of the Helmholtz Diabetes Center (HDC) and partner of the German Center for Diabetes Research. Prof. Matthias Tschöp (Dr. Med., Dr. hc.), CEO of Helmholtz
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analyse the resulting data Facilitate interactions among consortium partners and assist in organizing project-related visits and workshops Assist in project management Profil: PhD in Biology, Biochemistry
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disease research, public health research, or a related field is preferred In-depth knowledge of R or Python Strong analytical and problem-solving skills with the ability to interpret complex data Excellent
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: Drive innovation in VR visualisation: Develop immersive tools that enable you and your collaborators to explore complex biomedical imaging data in entirely new ways, uncovering insights that traditional
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challenges including the environment, climate, information & communications, mobility & infrastructure. Taking advantage of big data, extracting information by data analytics, creating insight from machine