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Henkel, is soliciting applications for Doctoral Researchers in Technology and Innovation Management (f/m/d)to join us by spring of 2024, or earlier/later by mutual agreement. The position is for two years
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fundamental knowledge about the handling and capturing of flow behavior in multistage compressors. The collaborative frame with a prestigious industry partner will give insight to future technology requirements
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Signals in Cancer” (Head: Prof. Dr. med. Jürgen Ruland) is to (i) explore the molecular mechanisms and pathways that drive immune dysfunction and immunotherapy resistance, (ii) modulate cancer
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reactor concept is developed with two other research groups at the TUM Campus Straubing who specialize in electrochemical processes. The final goal is to build a demonstrator on the mini-plant scale
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privacy-preserved fashion. Research topics include, but not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and
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privacy-preserved fashion. Research topics include, but not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and
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information flow. Understanding these attributes is critical for the responsible application of such models to medical settings. Your Qualifications: - Holding an excellent MSc in the field of pure or applied
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100%, 3 years) on DNA data storage. The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on
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, relevant experiences and skills, and your interest in the project (max. 2 pages) Names and contact details of 2 references, including a brief statement explaining your relationship to each of the named
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, which include your CV, your list of publications, transcript of record, a motivation of your research interests (max. 1 page) and the contact details for two letters of recommendation in one PDF document