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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities This experiment-oriented
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behave in complex, uncertain environments. The research aims to uncover the computational principles underlying perception and action, and to translate these insights into innovative technologies
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that affects the measured data and translate the observations into mechanistic insight Lead a PhD student in development of a controlled flow system for in situ ATR-UV–Vis spectroscopy including
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approaches in plant breeding, offers new opportunities to address this. One such challenge is to improve complex traits such as crop tolerance to dynamic environmental conditions in the current era of global
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific expertise in the field of advanced experimental and computational techniques for the analysis of aerodynamic
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. Job description The Aerodynamics group is composed of 12 scientific staff and hosts the Chairs of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific
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research autonomously Breadth of exposure coming from past and/or current research/activities Ability to gather and share relevant information General interest in space and space research Behavioural
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encouraged to familiarise yourself with the ACT’s research portfolio, in particular its activities in artificial intelligence, guidance, navigation and control, unconventional computing and fundamental physics
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such challenge is to improve complex traits such as crop tolerance to dynamic environmental conditions in the current era of global climate change and how to best incorporate this in plant breeding strategies