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• Collaborate in customer, R&D, CIP, and internal optimization projects
• Develop and evaluate technical concepts and designs, including specifications and project planning input
• Create risk assessments, calculations, drawings, assembly/installation instructions, and technical documentation

• Organizing storage in the clean room, including cleaning of components for clean room compatibility,
• Organizing storage space for existing detector components and test stand pieces, as well as spare parts,
• Helping to organize the inventory of detector parts and spare parts,

• Design and implementation of complex enterprise-grade software solutions
• Definition and evolution of application, data, and integration architectures
• Design and architecture of service-oriented and event-driven systems
• Development of distributed, resilient, and highly available platforms

• development of physics-guided machine-learning models for composition-process-structure-property relationships in magnesium alloys
• combination of crystal plasticity, phase-field, precipitation, and machine-learning approaches into a unified digital twin framework

• Write clean, typed and tested code, and follow shared standards and code reviews.
• Build LLM- and agent-based features with Azure OpenAI and AutoGen, including document processing and RAG.
• Implement tests and monitoring setups for AI quality using pytest and DeepEval.

• Write clean, typed and tested code, and follow shared standards and code reviews.
• Build LLM- and agent-based features with Azure OpenAI and AutoGen, including document processing and RAG.
• Implement tests and monitoring setups for AI quality using pytest and DeepEval.

• Design of protein and antibody constructs, including chimeric, humanized and multispecific mAbs
• Chemical and enzymatic modification of antibodies (e.g. fragmentation, labeling and conjugation)

• Design and develop vulcanization tools, fixtures, and technical solutions for manufacturing operations.
• Optimize existing tooling concepts to improve quality, process stability, and cost efficiency.

• Conduct multi-omics data integration and advanced statistical analyses in ongoing and newly initiated projects on metabolic diseases
• Develop and apply machine learning models for biomarker discovery, patient stratification, and prediction of disease trajectories

• Develop and optimize BEOL processes including metallization, tungsten vias, dielectrics, CMP, passivation
• Define process flows across deposition, etch, clean, and planarization steps
• Perform reliability qualification in collaboration with reliability team

• DNA metabarcoding analyses of bulk zooplankton and environmental DNA samples, including laboratory work, data processing, and biodiversity analyses
• Sample archiving and provision of data, scripts, and results in accordance with the FAIR principles

• Oversee the clinical pharmacology and translational strategy across multiple drug development programs
• Provide scientific support and advice to our preclinical and early clinical development teams in the design, execution and interpretation of pharmacology studies and PK/PD analyses

• Program and troubleshoot PLC controls and HMI´s for proper function
• Analysis and resolution of malfunctions, as well as root cause analysis
• Define and set standards in automatization of machines

• Sorrenti
• Sorrenti

Develop & design Tools & fixtures: Design production equipment regarding costum machine design/ Special machines such as winding tools for fibre-reinforced plastics and metallic components....

Partner with research labs across ETH to identify high-impact use cases for agentic AI and co-develop novel pipelines and tools....

• Design and develop assembly fixtures, testing equipment, and production tools to support efficient and high-quality manufacturing processes.
• Plan and design modular workstations, assembly lines, and production systems with a focus on ergonomics, productivity, and scalability.

• Surgical microscopes creating surgical augmented reality
• Ultrasound devices creating 3D ultrasound imaging
• Brainlab's own Robotic Arm (Cirq)

Device fabrication: Execution and refinement of micro and nano-fabrication runs using existing fabrication processes....

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e. g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.