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What You'll Be Doing· Handle customer inquiries via phone, email, and chat, providing accurate information on shipments and services· Investigate and resolve shipment-related issues (delays, lost parcels, complaints)· Collaborate with logistics, warehouse, and transportation teams to...

• Translate business priorities into high-impact insight projects, combining research, analytics and market data
• Shape how work gets done by defining priorities, resourcing and delivery models across teams and partners

• Deliver orders accurately and on time
• Communicate with customers and customer support to ensure smooth deliveries

• Support day-to-day benefits operations for NAM Retirement and Health & Welfare, ensuring timely and accurate service delivery.
• Respond to employee/customer tickets and inquiries, researching and resolving issues in partnership with the Total Rewards team.
• Assist with planning and execution

• Participation in controlling projects (process simplification, DQ improvements, automatization)
• Develop and maintain strategic and operational dashboards and reports (SAS BI, Power BI / Power Platform)
• Execute database queries and perform data transformations (using SQL)

• You will take on leadership responsibilities, coordinating a team of approximately 10–12 employees, including both white-collar and blue-collar team members
• Define and control production and test processes such as calibration, tooling and equipment definition and maintenance

• 3-5+ years of professional experience with 2+ years’ experience, including at least 2 years in Public/Government Affairs, Legal, Commercial, or Communications  within a multinational company or in the public sector 
• Solid knowledge of the aviation sector 

Open to fresh graduates with strong analytical and data skills, as well as candidates with 1–2 years of relevant experience in network planning, revenue management, commercial planning, strategy, management consulting, or other analytical roles...

• Experience in flight or cabin crew operations is preferred. 
• Strong understanding of aviation training documentation, including AOC OM Part D, CCTO OM, ATO OM, and Group Training Service Agreements; 

PhD Position in Financial and Insurance Mathematics The Chair of Quantitative Risk Analysis at the Department of Mathematical Modeling and Machine Learning is inviting applications for a PhD position in Financial and Insurance Mathematics. The successful candidate will be associated with the Zurich...

PhD Student Infection Biology and Biomedical Materials (ID2106) The AO is a medically guided, not-for-profit organization, a global network of surgeons, and the world's leading education, innovation, and research organization specializing in the surgical treatment of trauma and musculoskeletal...

PhD Student Infection Biology and Field Assisted Biofabrication (ID 2105) The AO is a medically guided, not-for-profit organization, a global network of surgeons, and the world's leading education, innovation, and research organization specializing in the surgical treatment of trauma and...

• Conduct molecular biological, protein biochemistry, histology, and cell biological analyses using blood, tissue, and primary cells
• Establish, maintain, and expand a Biobank

PhD Student in Aerosol Chemistry The Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies, energy and climate, health innovation and fundamentals of nature. By performing...

As a PhD candidate with us, you will dive deep into the world of agentic AI systems and contribute significantly to the development of intelligent solutions for real-world challenges, combining cutting-edge research with direct industrial impact....

Conducting policy-relevant empirical research in various areas of public administration reform, both independently and in collaboration with other researchers;...

In this PhD project, you will investigate neural 3D scene representations, including neural radiance fields, Gaussian splatting, and implicit occupancy models, and adapt them to the unique challenges of in-cabin perception. Unlike exterior environments, where a moving sensor observes a largely...

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