Sort by
Refine Your Search
-
. Alternatively, direct ink writing of the same material can be investigated for 3D building. Investigate the concepts of mobility, charge carrier concentration, Seebeck coefficient, and thermal conductivity. The
-
strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
-
-based composites using melt electrowriting printing, support for PhD students working with 3D extrusion-based and 3D liquid-in-liquid printing, testing of MOFs for dissolved CO2 capture, investigation
-
mechanics and propulsion, for which the AEROSQIN project constitutes a perfect framework. The candidate will advance techniques for large-scale 3D particle tracking by merging measurement theory and practice
-
these processes. The successful candidate will work with animal models and clinical samples and will apply a range of cutting-edge techniques, including flow cytometry, 3D microscopy and transcriptomic analyses
-
Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
hydrostatic assumption as a higher order approximation of 3D stochastic Navier-Stokes arXiv preprint arXiv:2602.04422 2 A Debussche, É Mémin, Antoine Moneyron, Stochastic interpretations of the oceanic
-
(CONCEPT) Research Unit: https://concept.iit.it/ Integrative Nuclear Architecture Research Unit: https://ina.iit.it/ 3D Chromatin Conformation and RNA Genomics Research Unit: https://3d-chrom.iit.it/ Genomic
-
subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
-
and society. Position You will carry out high-quality scientific research in the field of redox flow batteries. More specifically, you will be responsible for developing and testing 3D electrodes. You
-
A post-doctoral position is available to advance the development of a 3D human lymphoid organ model and apply this model to test new mRNA vaccination platforms. The position is fully funded for 2.5