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e.g. Python/R. Desired experiences: Molecular laboratory, bacteriology and/or cultivation-based experimental work. Network-based analysis of multi-omics data. Molecular lab experience A PhD student with
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environment, with access to an international network and regular research seminars featuring renowned scholars. As a PhD candidate, you will: be admitted to the PhD programme in Business with the aim
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analysis. Through your involvement in both MSCM and MSI, you will benefit from complementary expertise in consumer behavior and sustainability. The Project This PhD project addresses one of the key
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Applied Physics, Electrical Engineering or a closely related field. Demonstrable skills in numerical modeling, simulation, and data analysis. A solid understanding of Physics, Optics, Electron Optics, MEMS
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Language Planning, Property and Environmental Management Politics Russian and East European Studies Science, Technology and Innovation Policy Social Anthropology Social Network Analysis Social Statistics Sociology
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associated with interpretation of measurements from blood and, in particular, measurements from a blood gas analyser. Often, blood samples can be incorrectly assessed due to gas contamination, delayed analysis
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Assessment (LCA), Input-Output analysis (I/O), and Material Flow Analysis (MFA) with scientists’ contribution to IPCC and IPBES assessment reports, the International Resource Panel, active participation
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in Python, C++, MATLAB/Simulink, ROS, Gazebo or other simulation and robotics frameworks. Experience with CAD/CAE, CFD, digital twins, embedded systems or experimental data analysis is an asset
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shaping vectors: (i) selection of important historical period/s of Holmes mythologizing (e.g. during the Second World War, in the 1960s-1970s); (ii) analysis of medium specific representations of Holmes
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analyses or game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of