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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | 2 months ago
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD student to join our
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candidate is expected to significantly contribute to VGU's scientific profile through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in
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into a dynamic role with Embry Riddle Aeronautical University, where innovation meets opportunity. Be part of a leading institution that’s at the forefront of aviation, aerospace, and STEM education. We
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explores the non-linear and dynamical nature of strong gravity and black holes in and beyond Albert Einstein’s theory of general relativity through gravitational observations. The collaboration brings
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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specializing in the following areas: Electronic Structure and Dynamics in Advanced Materials Objective: achieving atomic-precision control and characterization of materials to deepen the understanding
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The control of physical or chemical phenomena resulting from
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(UTC) Country Belgium Type of Contract Temporary Job Status Full-time Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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reservoir engineering, the main research is focused on mathematical physics, exact and asymptotic solutions of non-linear partial differential equations, and analytical methods in fluid mechanics. MSc
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Analyze dynamical states of spiking complex neuron networks with respect to network topology and neuron parameters Development of learning rules considering the strong non-linearities of the neurons