70 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions in Belgium
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
-
associated with impaired development of inhibitory circuits in an ASD subtype. Using cutting-edge in vivo electrophysiology (Neuropixels recordings), behavioral testing, opto/chemo-genetic techniques, and
-
associated with impaired development of inhibitory circuits in an ASD subtype. Using cutting-edge in vivo electrophysiology (Neuropixels recordings), behavioral testing, opto/chemo-genetic techniques, and
-
short- and long-read whole genome sequencing datasets. This position provides the opportunity to develop and apply advanced bioinformatics tools and conduct innovative analyses, including integrating long
-
composite tanks, both in the vehicle itself as in refueling stations. Indeed, the success of hydrogen fuel cell vehicles depends both on the development of safe storage options in the vehicle, as well as a
-
“Handshake Complexes of Chiral Nanoparticles and Proteins” (CHIRAL-PRO ). The overarching goal of CHIRAL-PRO is to develop a widely applicable methodology to design chiral nanoparticles (NPs) with exceptional
-
project dedicated to decoding early human embryo development through cutting-edge stem cell-based embryo models, single-cell omics, with a focus on X-chromosome inactivation and cell fate. The project
-
Verwirklichung), Mill (self-development), Nietzsche (Zucht) and Dewey (growth), in order to bring to light the main theoretical divergences concerning the conditions of a partial reactivation and actualization
-
that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
-
force measurements on actual textile manufacturing machinery in collaboration with leading industrial partners. The goal is to develop a predictive modelling framework that can serve as a digital twin of