Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Istituto Italiano di Tecnologia
- University of Bologna
- Scuola Superiore Sant'Anna di Pisa
- University of Macerata
- 3rdplace
- AI4I
- CERIC-ERIC
- CNR Istituto Nanoscienze (NANO)
- EURAC
- Fondazione Bruno Kessler
- Humanitas Research Hospital
- Institute of Hematology and Center for Hemato-Oncology Research
- LINKS Foundation - Leading Innovation & Knowledge for Society
- Nature Careers
- University of Padova
- Università degli Studi dell'Insubria
- Università degli Studi della Basilicata
- Università degli Studi di Padova
- Università di Pisa (UNIPI)
- 9 more »
- « less
-
Field
-
michele.compare@aramix.ai Requirements Research FieldComputer science » Modelling toolsEducation LevelMaster Degree or equivalent Skills/Qualifications Strong expertise in Bayesian methods, python coding
-
., Fortran, Python, etc.). Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Selection process
-
proficiency in programming languages (e.g., Python, C/C++), knowledge of control algorithms and/or existing architectures (e.g., ArduSub, ROS2) for autonomous navigation, and the ability to develop innovative
-
proficiency in programming languages (e.g., Python, C/C++), knowledge of control algorithms and/or existing architectures (e.g., ArduSub, ROS2) for autonomous navigation, and the ability to develop innovative
-
allow you to develop competences in Analysis of population recordings (suite2p and python) Quantification of behavioural (DeepLabCut and python) Analysis of the MICrONS dataset ESSENTIAL REQUIREMENTS
-
, Electrical and Computer Engineering, Cybersecurity, or any other relevant field. • Strong background in cybersecurity. • High proficiency in programming (C, C++, Python, ROS, or Matlab). • High proficiency in
-
international journals or conferences. Experience in predictive modeling for forecasting or recommendation systems. Strong programming skills in Python and AI frameworks (PyTorch, TensorFlow), including GPU/cloud
-
skills for scientific computing (e.g., Python, C++, or equivalent languages). Experience in national or international research collaborations. LanguagesITALIANLevelGood Research FieldTechnology
-
of qualifications. Interview on: - Atmospheric Physics and Remote Sensing: Knowledge of radiative transfer and hyperspectral sensors. - Programming: Proficiency in languages such as Python, Fortran, or C
-
Computer Science, Electrical and Computer Engineering, Cybersecurity, or any other relevant field. Strong background in cybersecurity. High proficiency in programming (C, C++, Python, ROS, or Matlab). Specific