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• Excellent scientific and social environment
• Very competitive employment conditions
• Membership in a very supportive and recognised community

• generate and characterize sub-micron size Bessel beams
• perform nano-machining trials of glass samples with a femtosecond pulsed laser and optimize laser parameters for the optimal mirror template
• design and build open micro-cavities with nano-machined fibres for quantum communications

• Mammalian cell culture and analysis (Microscopy, qRT-PCR)
• Hydrogel formulations and characterisation (Rheometry, Atomic Force Microscopy)
• Data analysis and graphical representation (GraphPad, MATLAB, R or similar)
• Fluency in English and good communication skills

• Excellent scientific and social environment
• Very competitive employment conditions
• Membership in a very supportive and recognised community

• Excellent scientific and social environment in the Quantum Coherence Lab and in the Swiss Nanoscience Institute
• Very competitive employment conditions
• Membership in a very supportive and recognised community

  PHD POSITION: FROM THE ORIGIN OF LIFE TO NEW MATERIALS - NANOPORE DETECTION OF NANOCLUSTER HETEROGENEITY WITH SINGLE-MOLECULE RESOLUTION (P2604) For the prestigious PhD School of the Swiss Nanoscience Institute (SNI), we solicit applications for a paid 4-year PhD student position jointly...

• Lead and support technical transfer activities for combination products, medical devices, and secondary packaging processes.
• Drive development-to-commercial manufacturing transfers across global production sites.

• Further develop and optimize Spin lock functional MRI sequences at 3T and 7T
• Conduct phantom testing and human data acquisition
• Improve post processing and quantitative analysis tools
• Collaborate closely with clinical and technical partners within the project

• Develop high-impact research on sex- and gender-sensitive medicine, clinical evidence gaps, global disease burden patterns, and opportunities for research prioritization and health equity
• Build and apply large-scale, reproducible data pipelines

Support the development and delivery of HEOR strategies and evidence-generation activities across hematology assets in Europe and New Markets....

• Yuliya Zvolskaya - Engineering Manager - LinkedIn
• Set technical direction for frontend across multiple teams, building alignment among engineers, product managers, designers and senior stakeholders.

• Provides technical and laboratory service support for existing products and solutions across all stages of development.
• Designs and executes proof-of-concept studies for new products and R&D initiatives.

Own adoption, retention, and expansion across our digital-services customers - from first successful use through to growing, multi-team deployments...

• An agile career and dynamic working culture.
• An inclusive and ethical workplace.
• Drive operational excellence by maintaining clear customer communication and supporting the preparation and oversight of manufacturing campaigns.

• G ood development understanding in both front-end and back-end technologies, while leveraging SharePoint object model /architecture;
• In depth technical understanding of the M 3 65/SharePoint online architecture. Able to configure SharePoint inbuilt and PnP based components;

Project Management & Phase Leadership: Lead development projects across feasibility, optimization, transfer, and validation phases; manage project plans, budgets, risk mitigation, and cross-departmental alignment....

• Define and execute the R&D roadmap in line with AMF's strategy and mission to industrialize microfluidics
• Identify new technologies and opportunities in microfluidic automation, life sciences, diagnostics, and industrial applications

Work collaboratively within integrated,cross-functional teams to deliver comprehensive Cloud strategies, infrastructuretransformations and/or plan and execute migration projects...

Own time-to-value for prospective customers: from first technical discovery through trials to successful onboarding, make sure scientists see real value as fast as possible...

Develop and apply mathematical, statistical, and machine-learning models to complex, high-dimensional, and multimodal biological and clinical datasets, including spatial and imaging data...