35 postdoc-sensor-networks PhD positions at Technical University of Munich in Germany
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duration Payment is according to the wage agreement of the civil service TV-L, 65% of E13 for PhD student positions and 100% of E13 for Postdoc positions. Please note that there are no additional
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high-dimensional single-cell analysis and within the LPI network (scRNAseq, spectral flow cytometry) to translate fundamental insights into translational applications for human health and disease. We
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29.09.2022, Wissenschaftliches Personal Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how blood vessels self-organize their network to reach uniform blood flow within
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06.06.2022, Wissenschaftliches Personal Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how blood vessels self-organize their network to reach homogeneity in blood flow
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29.04.2021, Wissenschaftliches Personal This PhD position is in the field of resource management for wireless network that leverage “digital twins” modeling aspects of the physical (such as user
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personal development •Interdisciplinary networking in German and international wood and aroma research •Applications from women are explicitly encouraged. Preference will be given to candidates with
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methods and architectures Scientific publications. We offer: An optimal research and supervision environment for doctoral studies and academic development, excellent networking opportunities. Pleasant
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Program if you aspire to an academic career. We offer you access to an international research network by presenting your research at leading international conferences and spending a research semester at top
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polycephalum arises from the interactions of cell nuclei within its gigantic cell. We are looking for a PhD student (m/f/d) to start at the TUM this summer or fall. Your Task The network-forming slime mould
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to approach work in an analytical, imaginative, and structured way and to work independently on research projects • Good team player and inclination towards acting in networks • Very good communication skills