Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
to pedodiversity and soil functionality under different pedoclimate conditions". The post-doctoral researcher will investigate how soil-forming factors and subsoil properties regulate pedodiversity, organic matter
-
scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising data, energy, and processing resources while adapting to the different computational
-
multidisciplinary and interdisciplinary approach, integrating osteoarchaeological, archaeological, and biochemical analyses. Its aim is to reconstruct how different funerary practices and deposition modes reflect
-
national and international reference point in quantum technology research. The integrated approach—which combines experimental development, numerical simulations, and advanced algorithm design—will create a
-
for testing machine learning algorithms applied to generative design in support of existing heritage regeneration processes. Where to apply E-mail reclutamento.docenti@ateneo.uniroma3.it Requirements Additional
-
focus on a specific geographical area, examining different aspects of encounters involving travellers: legislation, the use of urban space, communication, and material culture. Sources produced both by
-
in bioinformatics, computational biology or related subjects; should be familiar with state-of-the-art NGS tools, algorithms and pipelines for processing and interpreting omic-seq data sets, with Unix
-
, Physics, or a related field; Experience in following and handling international projects; Advanced understanding of deep learning/machine learning algorithms for weather prediction and climate science
-
maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data
-
from different disciplines Contribute to scientific publications and dissemination of results ESSENTIAL REQUIREMENTS PhD in Physics, Photonics, Condensed Matter, or a closely related discipline Proven