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- Institute for bioengineering of Catalonia, IBEC
- UNIVERSIDAD POLITECNICA DE MADRID
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Universidad de Alicante
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fundación IMDEA Nanociencia
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certification within the scope of the aforementioned project, and carrying out the following tasks: Analysing the requirements and designing the AI-based software platform for the optimisation of energy
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Description Grant/funding reference: PID2022-137099NB-C42 Job title: COMMUNICATION, CODING AND PROCESSING TECHNOLOGIES FOR NEXT-GENERATION QUANTUM CLASSICAL NETWORKS (MADDIE) Research line: INFORMATION SYSTEMS
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person with collaborators and contribute with international experience to enrich the network of collaborators of the group. Requirements for candidates: Essential: Ph.D with postdoctoral experience in
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network layers of communication systems and Geomatics. CTTC received the “HR Excellence in Research” award in 2015 from the European Commission and successfully passed into the Award Renewal phase in 2023
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of the candidate’s profile: 35% Additional comments OTM-R. The ICP endorses the principles of the European Charter for Researchers and Code of Conduct for the Recruitment of Researchers that define the EU Human
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vacuum, chemistry labs and scanning probe microscopies. Fluent in English, good writing and interpersonal skills. Molecular modelling software and programming knowledge for data acquisition and data
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., Autodesk Fusion 360), and familiarity with Freeform software from Formlabs will be considered a plus. Experience related with the field of nanomotors will be highly valued. For the conditions, requirements
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for candidates aiming to consolidate their postdoctoral experience and grow towards scientific leadership roles. Key responsibilities: Lead the conceptualization and development of an energy management software
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of this annex, as well as to: Programming in Python and R. Statistical classification and machine learning methods: SVM, neural networks and logistic regression. 3.2. Qualification: Official Master’s degree in
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) Knowledge of image analysis using ImageJ or similar software Scientific writing skills For the conditions, requirements, details of the research project and other relevant data, please check the general call