4 data-"https:"-"https:" positions at Università di Pisa in Italy

Filters Search

Sort by

listed

Refine Your Search

Category
- Uni Job 3
- Scholarship 1
Field
- Computer Science 1
- Economics 1
- Engineering 1
- Mathematics 1

Sort by: relevance | listed |

Enter an email to receive alerts for data-"https:"-"https:" positions

SUSTECH “Accelerating SUStainable TECHnological trajectories with computationl chemistry and machine learning” Grant Agreement: [101224873 SUSTECH]

Università di Pisa | Italy | about 17 hours ago

6 Mar 2026 Job Information Organisation/Company Università di Pisa Research Field Economics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
FIS-2023-02423 - CUP I53C25001870001 “Sustainable and innOvative blUe food pRodCion under one hEalth approach” acronimo “SOURCE”

Università di Pisa | Italy | about 17 hours ago

6 Mar 2026 Job Information Organisation/Company Università di Pisa Research Field Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established
FIS3-Optimal TranspOrt and large Deviations for Deep LEarning theory

Università di Pisa | Italy | about 17 hours ago

6 Mar 2026 Job Information Organisation/Company Università di Pisa Department Dipartimento di Matematica Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher
FIS-2023-02508 “EPSILON: Endogenous Pseudo-Stochastic IntelLigence: unveiling the pivotal role of non-deterministic Oscillations in complex biological Networks”

Università di Pisa | Italy | about 17 hours ago

6 Mar 2026 Job Information Organisation/Company Università di Pisa Department Dipartimento di Ingegneria dell'Informazione Research Field Engineering Researcher Profile Recognised Researcher (R2

Enter an email to receive alerts for data-"https:"-"https:" positions

4 data-"https:"-"https:" positions at Università di Pisa in Italy

Sort by

Filtered by

Refine Your Search

SUSTECH “Accelerating SUStainable TECHnological trajectories with computationl chemistry and machine learning” Grant Agreement: [101224873 SUSTECH]

FIS-2023-02423 - CUP I53C25001870001 “Sustainable and innOvative blUe food pRodCion under one hEalth approach” acronimo “SOURCE”

FIS3-Optimal TranspOrt and large Deviations for Deep LEarning theory

FIS-2023-02508 “EPSILON: Endogenous Pseudo-Stochastic IntelLigence: unveiling the pivotal role of non-deterministic Oscillations in complex biological Networks”