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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
optimize the growth of GaAs nanowires integrating crystal-phase heterostructures by molecular beam epitaxy (MBE). Contribute to scientific writing, presentation of results, and promotion of the project's
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. Combining field-level data with other data available in the cloud, such as weather data and food pricing models allow to further optimize smart farming. Among the most impactful operations for sustainable
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system housing the two arms of the PET-SCAN system - Develop a simulation tool to optimize the prototype structure - Develop software tools for data acquisition and processing This work is being carried
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modularity and sequence addressability. - Assembly and optimization of the folding DNA origami nanostructures - Functionalization of DNA origami with proteins, peptides, fluorophores, nanoparticles, or drug
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thin films. Technical difficulties remain however for the realization of optimal epitaxial layers, in accordance with this new approach and able to withstand a voltage of 1400 V. The proposed thesis will
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, and how signaling pathways integrate with physical constraints to ensure an optimal balance between lipid storage and energy production. By combining quantitative biophysics, advanced imaging, and
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microfluidic chips (CAD Design). • Master microfabrication techniques: SLA 3D printing, PDMS molding, and cleanroom work. • Iterate on designs to optimize fluid circulation, mixing, and analyte incubation. B
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will contribute to a better understanding of surface annealing processes, with the goal of achieving optimized control over the final material state, taking into account its crystalline structure as
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mechanistic features will be deciphered in order to fully understand the cleavage reaction of DNA with DNAzymes. Sample preparation (DNA both as catalyst and substrate), followed by optimization of pulsed EPR
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. To that aim, both Stein-based bilevel optimization, empirical Bayesian and unsupervised deep learning approaches will be considered. The recruited postdoc researcher will tackle both implementation challenges