Sort by
Refine Your Search
-
Employer
- FEUP
- INESC TEC
- Instituto Superior Técnico
- Universidade de Coimbra
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centro de Estudos Sociais da Universidade de Coimbra
- Faculty of Sciences of the University of Porto
- NOVA Information Management School (NOVA IMS)
- UNIVERSIDADE DE ÉVORA
-
Field
-
Research Studentships (for students of a Master or Integrated Master students) - (BL139/2026-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 days agoResearch and Innovation Actions (2021-2027), of the call HORIZON-CL5-2024-D3-01 — Next generation of renewable energy technologies Workplan: Thermal and Optical Design of a High-Temperature Hybrid Solar
-
first implementation use case, given its interdisciplinary coverage of communication networks, active distribution network management, and behind-the-meter systems. Duration: 3 months Maximum Duration
-
implementation of an optically detected magnetic resonance (ODMR) system for nanodiamond characterization. Legislation and regulations: Law no. 40/2004, updated by Decree-Law no. 123/2019, of 28 August (Statute
-
team in events organized by the project, and other required dissemination, communication and networking activities planned for EDU-AM, in particular the final conference of the project; - Support the PI
-
for planning, network modeling, and resource scheduling, considering different usage perspectives and performance criteria; (ii) Contribute to the development and implementation of the different solution modules
-
optical imaging, hormone secretion assay, immunocytochemistry, RNA sequencing. • Support in data collection and analysis, as well as generating reports and drafting manuscripts. • Carrying out day-to-day
-
system in orbit. This system will allow for a connection to be made between a satellite and the terrestrial 5G network, offering IP connectivity to the other subsystems. IST's responsability in the project
-
Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic
-
chains and intermodal distribution networks, exploring synchromodal strategies to enhance the efficiency, flexibility, and resilience of the chains.; As part of the fellowship, the selected candidate will
-
therein must be completed by the time of contracting. Work plan: (i) Support the design, development, and validation of methodological and computational solutions for planning, network modeling, and