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cell models from different species, and models based on human induced pluripotent stem cells applying methods such as RNAscope, RNA seq, PCR, histological stainings (IHC/IF). Conduct independent research
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control framework for microfluidic live-cell analytics in close collaboration with partners at HZI, Helmholtz Munich and HHU. Your tasks in detail: Establish deep-learning–based segmentation, species
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certification based on proof of validity and reproducibility. The R&D questions concern : (For P1) "AI as a service" to enrich engineering: modelling of the changing, complex and uncertain environment
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catalysis and have documented experience on developing MEMS-based devices for ultrasensitive catalytic measurements. This includes extensive experience with design and cleanroom fabrication of MEMS devices
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of controlling and improving radio propagation for IAM operations. While Cohort 1 concentrates on high-fidelity finite-element modeling of the electromagnetic near field of meta-surfaces under coupled physical
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in experimental design, data analysis, and scientific writing Added value: expertise in microbial ecology, bioremediation, or omics-based approaches Where to apply Website https
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., turbine components).Research on advanced deep learning techniques, including architectures based on GRU, LSTM, attention mechanisms, and hybrid models.Implementation of real-time predictive models (soft
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of patient-focused care through the integrated skills of all care team members. The span of control for this position is based on unit capacity, unit complexity, and FTE oversight. Span of control will be
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not only with the various working time models but also through the offers for the compatibility of family and career. Website for additional job details https://jobs.uni-graz.at/en/jobs/254dd70d-a492
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-principles, network-based framework for plant water and carbon transport under climate extremes. The successful candidate will work at the interface of plant physiology, fluid mechanics, network theory