40 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Leibniz
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Skłodowska-Curie Actions (MSCA COFUND). The programme is focused on six research areas, which reflect the scientific pillars of Leibniz-HKI: discovery & engineering of novel antifungals from microbiomes
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further both professionally and personally in an interdisciplinary setting. Position The DWI is looking for a Postdoctoral researcher to develop new granular biomaterials for tissue engineering purposes
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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Your Profile - Expected Completed PhD in Materials Science, Polymer Science, Chemical Engineering, Mechanical Engineering (materials focus), or related field Demonstrated laboratory experience in polymer
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and external project partners Ensure timely milestone reporting and structured project documentation Your Profile: Expected: Completed PhD in Materials Science, Polymer Science, Chemical Engineering
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. For the project The Role of the Ocean in Earth System Stability PIK’s Research Department 1 Earth System Analysis, is offering a Scientific Position (PhD or Postdoctoral level) (m/f/d) (Position number: 03-2026
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C3 /C4 transitions occurred in the past Publish results in scientific journals with highest scientific standards Your Profile Master or PhD degree in Biology, Plant Ecology, Environmental Modelling
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Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), headquartered in Frankfurt am Main, is seeking to fill the following position at the Senckenberg Biodiversity and
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of neuroscience, cardiology, and magnetic resonance imaging. We are in search of Postdoctoral Research Position (m/f/d) – Advanced MRI of Heart–Brain Interactions Bridging Brain and Heart: Neuro-Cardiovascular
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extraction, and multi-omics integration workflows. This position is ideal for someone who enjoys working at the interface of technology, instrumentation, and computational modelling, contributing both to data