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Field
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, materials science, and astrophysics, and uses a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School
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, information visualization and/or human-computer interaction Publications and dissemination of research findings (in journals and at conferences) Active participation in institute’s fund-raising enveadors Active
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of applications, including biology, materials science, and astrophysics, and uses a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods
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(payable 14 times per year) Responsibilities The applicant is expected to establish an own research group with focus on advanced machine learning and deep learning techniques for remote sensing applications
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Systems Engineering, driving forward computer-aided and experimental approaches to the modelling, simulation, analysis and optimisation of sustainable process engineering processes, incorporating
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phenotyping, machine learning and advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored to their methodological background, previous research
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for the production of architectural spaces; therefore, extensive computer skills, as well as in-depth knowledge of design-related software such as Rhino, Grasshopper, Blender, Unity, AI applications and laser scanning
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(https://www.nature.com/articles/s43247-021-00105-x#Ack1 ; https://www.frontiersin.org/articles/10.3389/fmicb.2019.01492/full ). We aim to investigate the ecological distribution of metallophilic
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, materials science, polymer engineering, or a comparable field of study In-depth knowledge in the areas of polymer materials, polymer characterization, and data analysis Excellent computer skills and
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finite element methods with applications to wave propagation problems and nonlinear reaction-diffusion problems. Further information about our research area and about our team can be found on our homepage