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, thereby advancing technological solutions in the field of biosensors. Specifically, the objectives are: • To design and specify a robust and scalable technological solution aligned with the current
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of an innovative monitoring and decision-support platform as part of the PreciSAPP project, thereby advancing technological solutions in the field of biosensors. Specifically, the objectives are: • To design and
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biosensors for rapid, low-cost diagnostics in healthcare, drug testing, and winemaking. We seek a highly motivated individual with a research background in microfluidic engineering. In this role you will
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on experience Minimum Number of References Required Maximum Number of References Allowed Keywords Wyss Institute, Electrochemical Biosensor Development, Bioengineering, Airborne Infectious Disease
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on experience Minimum Number of References Required Maximum Number of References Allowed Keywords Wyss Institute, Electrochemical Biosensor Development, Bioengineering, Airborne Infectious Disease
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the researcher with the first-chance characterization of novel animal models and use of novel metabolic genetically encoded biosensors. The researcher will further benefit from collaborative mentorship with
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areas. Specific Requirements Preferred factors: We are looking for a candidate with a passion for science, enthusiasm for applied research, interest and experience in the field of biosensors and
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
to describe transitions between collective and singlecell invasion in confined and mechanically heterogeneous environments Calibrating and validating models using experimental data from imaging, biosensors, and
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
and mechanically heterogeneous environments Calibrating and validating models using experimental data from imaging, biosensors, and microchannel assays, in close collaboration with experimental partners
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of experimental platforms to model human neural systems. The successful candidate will design and apply microphysiological systems, such as lab-on-a-chip or biosensor-integrated constructs, to study neural network