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partitioning at relatively low (≤900°C) temperatures in contrast to most available high-temperature partitioning (≥ 900°C) extrapolated to low-temperature processes (600°C). The experimental zircon/melt
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research projects Good knowledge of the processes controlling biogeochemical dynamics in soils Good experience of experimental approaches to growing plants in controlled environments Experience
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skills for this position are: o Good knowledge of the technological challenges of agricultural/viticultural robotics. o Proven skills in: vision-based robot modeling and control; computer vision and
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conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
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Description The researcher will be responsible for developing and implementing a protocol aimed at studying motion processing and perception in both patients with macular degeneration and control participants
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ice environments under controlled laboratory conditions, using advanced radiation sources including synchrotrons, lasers, and hydrogen lamps. • Involvement in a cutting-edge ERC-funded research project
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Underwater Vision Profiler or the ZooScan, as well as an increase number of software packages to process and control the quality of the data generated by the instruments, sort images taxonomically (https
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of studying and quantifying the effect of microbial interactions on the phenotype and fitness of Saccharomyces in a controlled environment. More specifically, the researcher will be responsible for quantifying
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biostatistics, - At least 2 years of postdoctoral experience, and if possible experience in supervision (master or PhD students), - Solid background in mathematical modelling and computer programming
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biomechanical variables estimations of the same person. The research will be based on recent spherical representations such as UniphorM. - Activity 2: Integrate both object and person detection in the control