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of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms
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Profile: We are looking for highly motivated candidates (m/f/div) with a PhD degree in inorganic chem-istry, organometallic or organic chemistry who are interested in carrying out interdisciplinary research
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming
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Your Profile: Very good university degree (Master) in the fields of chemical engineering, process engineering, chemistry, material science or a comparable discipline with PhD Broad expertise and the
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statistical expertise and mentorship to PhD candidates within the LEVER project. Support the research activities of the Cultures of Sustainability Unit. Assist in the development and delivery of teaching and
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. Commencement into the program is contingent upon PhD thesis submission 3. Fellowships: During their time at MPG, postdocs positions are according to the German regulations and guidelines, and based
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the disc is an added advantage. Career growth: The candidate will have the opportunity to co-supervise PhD students. Optionally, the successful candidate will have the opportunity to mentor master’s students
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to apply E-mail jacob.schneidewind@uni-jena.de Requirements Research FieldChemistry » Heterogeneous catalysisEducation LevelPhD or equivalent Skills/Qualifications PhD in chemistry, catalysis or a related
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: Heidelberg Job Category: Science and teaching Working hours: full-time (100 %) Published: 28.10.2025 Limitation:Temporary (24 months, extension is sought) Contract:TV-L Your Profile PhD in a relevant field (or