206 application-programming-android positions at Technical University of Munich in Germany
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that are technically well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster
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biology techniques and high quality plant growth rooms and infection chambers. The Technical University of Munich is an equal opportunity employer and particularly welcomes applications from qualified women
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CW and femtosecond optical spectroscopy methods. Preference will be given to candidates who already have some postdoctoral experience, but applications from recently graduated PhDs with an excellent
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0.75 FTE of TV-L E13. Your contract will be initially limited to 1 year. Your workplace is centrally located in Munich and easily accessible by public transportation. We welcome applications from women
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contract will be initially limited to 3.75 years. - Your workplace is centrally located in Munich and easily accessible by public transporta-tion. We welcome applications from women and other groups
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10.06.2025, Wissenschaftliches Personal The professorship for Economics, Prof. Dr. Philipp Lergetporer, at the TUM Campus Heilbronn Global Center for Family Enterprise invites applications
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research in the area of entrepreneurship and family enterprise while participating in the doctoral program. TUM School of Management at TUM Campus Heilbronn invites applications for a Research Associate (m/f
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contract with a salary of approx. 3,400 euros per month gross*; plus 600 euros mobility allowance and (if applicable) 660 euros family allowance. The research costs of the host organisation(s) are also
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project funded within the DFG Priority Programme “Illuminating Gene Functions in the Human Gut Microbiome” (SPP 2474) and be involved in microbiology and molecular microbiology of the gut microbiota
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning