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• Anatomical tracing and imaging of peripheral nerves and ganglia.
• Viral and genetic approaches to identify and manipulate defined neuronal populations.
• Functional interrogation of neuronal signalling and neuroimmune interactions.

• Independently plan, perform, document, and analyze experiments within your PhD project.
• Work with patient-derived FFPE tissue from primary melanomas, sentinel lymph nodes, and lymph node metastases.

• Develop and apply multimodal ML methods to integrate clinical, breath metabolomics, biomarker, lung function, and environmental exposure data.
• Model lung function trajectories from infancy to adolescence, with a focus on moderate-to-late preterm children.

• Your responsibility: From day one, you'll own your stories and take end-to-end responsibility for your tasks.
• Your team: You'll work in a small team of no more than five full-stack engineers. Like this, our teams are more efficient and can move fast.

• 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

• Metabolic adaptation of leukemia under therapeutic pressure
• Effects of leukemia-derived metabolites on immune-cell function and immune recognition
• Identification and functional validation of metabolic mechanisms and therapeutic targets

• 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

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

• 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

• Laboratory maintenance
• Preparation of common lab reagents
• Biobanking of human blood and bone marrow samples including documentation
• Technical support of PhD students and postdocs, including with cell culture and animal experiments

Participate in our Product Sprints: collaborate on planning, requirements and design. Develop the Livingdocs platform across frontend, backend, databases, search and APIs, making smart use of AI-assisted tools....

In close collaboration with Process Owners you analyze existing processes, identify AI‑ and agent‑based use cases, and design future‑oriented process solutions by integrating available AI platforms, technologies, agents, data, and knowledge sources....

• 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

• Support the development and implementation of strategic, operational and organisational solutions, with a particular focus on technical and industrial topics.
• Analyse technologies, products, processes and value chains, and assess their business implications for clients.

• 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

• Sorrenti
• Sorrenti

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

Leading further development of the institute with over 30 highly motivated faculty and staff...

• 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.