69 assistant-professor-and-data-visualization PhD positions at Technical University of Munich
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, Management Science, Business Analytics, or a related field. Strong analytical skills with experience in AI, machine learning, or data analytics. Very good English skills in writing and communication
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is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you
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single-cell data analysis and programming skills are a plus • Organizational skills and meticulous experimentation practices • Great enthusiasm for translational science with human tissues • Ability
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are available in early 2025 and will remain open until filled. Further information: https://www.mls.ls.tum.de/en/plasysbio/home/ Selected recent publications Graf, A., Bassukas, A.E.L., Xiao, Y., Barbosa, I.C.R
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professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information
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. The main focus is developing and characterizing metallic high-performance materials for/through additive technologies using experiments and computer-aided methods. Furthermore, the chair is dedicated
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. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When
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documents. Please send them by e-mail to marius.henkel@tum.de Technical University of Munich Prof. Dr.-Ing. Marius Henkel | Assistant Professorship of Cellular Agriculture | TUM School of Life Sciences Gregor
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application documents. Please send them by e-mail to marius.henkel@tum.de Technical University of Munich Prof. Dr.-Ing. Marius Henkel | Assistant Professorship of Cellular Agriculture | TUM School of Life
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anti- or pro-inflammatory features Key Responsibilities: • Conduct wet lab experiments to generate data describing the context-dependent Treg identity and underlying transcriptional networks