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characterization methods (potentially including electrochemistry, multiple microscopy modalities, quartz microbalance, impedance spectroscopy) as well as surface modification and characterization and protein
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machine learning with applications in science. The aim is to develop novel machine learning and other data driven AI methods for scaling up and improving scientific processes beyond what humans can do, for
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research project (e.g. PhD in physical chemistry, chemical physics, computational chemistry or relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc
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characteristics. Innovate methods for integrating photosynthetic components into material systems and devices with additive manufacturing. Functionalize biological components with technological and stimuli
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: Develop biohybrid living materials and devices based on photosynthetic organisms with responsive and evolving characteristics. Innovate methods for integrating photosynthetic components into material
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these may be taken into consideration. The applicant must hold a PhD in Pediatrics or a related field. As an applicant, you are expected to: Have experience in the analysis of multiomics data and Olink
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these may be taken into consideration. The applicant must hold a PhD in bioinformatics or a related field. As an applicant, you are expected to: Have experience in the analysis of multiomics data and
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curious and motivated postdoc with a PhD in biomedical engineering, physics, materials science, organic chemistry—or similar—and a drive to explore new frontiers in science. 👉 Learn more and apply here
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to three reference persons. Full publication list. Copy of passport, PhD diploma, and MSc transcripts with grades. The application should be sent before application deadline electronically to lisa.dobrosch