Commissioning Manager - Electrical or Mechanical bias The Role: The post holder is responsible for the safe, timely and efficient design, installation and commissioning of MEP systems and IT infrastructure within data centre environments. The post
Research Title Adversarial Robustness in Multi-Modal Foundation Models Topics Cybersecurity Artificial Intelligence Machine Learning Software Engineering Information Theory Funded By The Italian Institute of Artificial Intelligence (AI4I) in collaboration with Politecnico di Torino Supervisors Nicola Franco, Luca
POSITION: Waste Management Specialist SEASON: Austral Winter (March 2026 - Oct 2026) LOCATION: Palmer Station, Antarctica SECTOR/DEPT: Six Mile, LLC Antarctica ESSENTIAL DUTIES AND RESPONSIBILITIES: Act as point of contact for Waste Management and attend weekly
Job Title: Quality Control Manager Location: NAS Sigonella Scope Dedicated to enforcing the QMS at the operational level; reports directly to the QM. Duties Performs daily inspections of services and deliverables against contract standards. Verifies technical
About Digital Pills At Digital Pills, our mission is to empower businesses with the strategic use of data. Our clients range from big corporations to elite B2C and B2B players. We also collaborate with foundations and
PhD in Mechanical Engineering Research Title Physics-Informed Generative AI for Architected Materials Deadline The 1st of July 2026 Funded by The Italian Institute of Artificial Intelligence (AI4I), in collaboration with Politecnico di Milano Websites Position Description
PhD in Mechanical Engineering Research Title AI-Guided Design of Programmable Intelligent Metamaterials Deadline The 1st of July 2026 Funded by The Italian Institute of Artificial Intelligence (AI4I), in collaboration with Politecnico di Milano Supervisors Marco Maurizi (AI4I)
The Electrical Superintendent will contribute to reach maximum availability/reliability of the electrical, instrumentation and automation equipment and installations in the plant by performing the appropriate corrective, preventive and predictive maintenance actions at the lowest optimum cost