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of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026 PhD Position 3 “Image-based analysis of human cohorts” (65%, Lipidomics Group) Ref. Number: 397_2026 PhD Position 4 “Data Science” (100
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interface of hydrology and geophysics, to gain extensive experience in field experiments, data analysis, numerical modeling, and scientific programming, and to contribute to fundamental advances in
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interest in analytical techniques and their application to clinical problems. We expect the applicant to have some experience in statistical data analysis and to be a highly-motivated, precise-working person
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collaborators within WHIRLS. Qualification Required: Completed master studies in oceanography, marine sciences, climate science, or another related field Experience in the analysis of data sets using programming
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to integrate automation, real-time data analysis, and intelligent control strategies to advance how we cultivate microbes. If you are primarily driven by curiosity about microbial life or equally motivated
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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | about 17 hours ago
deadline More information about the programme and on how to apply can be found on our website . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree
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18 Feb 2026 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences » Biology Researcher Profile
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cells Analyze RNA sequencing-based transcriptomic data sets Perform immune-staining with flow cytometry analysis, advanced microscopy techniques (light-sheet microscopy, confocal fluorescence microscopy
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures