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literature reviews across a number of fields in behavioural and social sciences. Develop and run controlled behavioural experiments (online and/or lab-based). Apply advanced statistical methods appropriate
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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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-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
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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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. The proposed modulation and control strategy should pursue the objectives of increasing the efficiency or reliability of the traction drive by means of suitably modified control based e.g.: on improved
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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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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 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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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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environment, responding to student needs, managing effective instructional activities, developing curriculum courses, modeling employability skills, demonstrating professionalism, developing cooperative work