Sort by
Refine Your Search
-
Listed
-
Employer
- Istituto Italiano di Tecnologia
- Fondazione Bruno Kessler
- Università degli Studi di Cagliari
- Institute of Hematology and Center for Hemato-Oncology Research
- Università di Bologna
- AI4I
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- EURAC
- Nature Careers
- UNIVERSITA DI TERAMO
- University of Bologna
- Università Mediterranea di Reggio Calabria
- Università degli Studi di Firenze - Unità di Processo
- Università degli Studi di Trieste
- Università degli studi di Bergamo
- Università degli studi di Firenze - Unità di Processo
- 6 more »
- « less
-
Field
-
10 Apr 2026 Job Information Organisation/Company Università degli Studi di Firenze - Unità di Processo Research Field Engineering » Biomedical engineering Researcher Profile Recognised Researcher
-
group is located in the new Center for Hemato-Oncology Research, a large building with outstanding design, state-of-the-art laboratories and technology platforms that is strategically located next to the
-
Center for Hemato-Oncology Research, a large building with outstanding design, state-of-the-art laboratories and technology platforms that is strategically located next to the Institute of Hematology, a
-
10 Apr 2026 Job Information Organisation/Company Università degli studi di Firenze - Unità di Processo Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
-
international best practices of Technology Assessment and Responsible Research & Innovation (RRI). The goal is to integrate humanistic research into technological development, increasing the Center’s capacity
-
synthetic opioids and new psychoactive substances” – CUP: F75E25000200001 – selection code: ipd_16D_0426_05/BIOS-11 Where to apply Website https://personale.unica.it/docric/public/ Requirements Additional
-
28 Mar 2026 Job Information Organisation/Company Istituto Italiano di Tecnologia Research Field Engineering Researcher Profile Recognised Researcher (R2) Application Deadline 30 Apr 2026 - 00:00
-
. The candidate will reduce model uncertainties by producing new large cosmological simulations of the magnetic outputs from galaxies in the ENZO code, which will test realistic implementations of baryonic feedback
-
with in-situ observations. Work closely with international partners to meet project deliverables for SNOWCOP and ESA CCI. Document code and workflows following FAIR principles. Publish findings in high
-
integrating biological data sources (clinical event sequences, genomic sequences, disease codes) into unified patient representations and state sequences for predicting disease progression and outcomes