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Field
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and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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optimizing experiments, collaborating with other lab members to support complementary projects, participating actively in weekly lab meetings and research discussions (65%); • Write and publish high-quality
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to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: PhD in
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development of biosensors Optimize novel aptamer beacon platforms Characterization with electrochemical techniques such as cyclic voltammetry, differential pulse voltammetry, square wave voltammetry, impedance
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novel modelling framework that translates climate signals to support cost-optimal long-term investment decisions, while also considering operational feasibility. The successful candidate will also
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optimization of sensors for infection diagnostics You will work within an interdisciplinary group at Chalmers, and will regularly interact with experts from Mölnlycke Health Care Supervise master’s and/or PhD
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graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher
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)/machine learning (ML) applications in the power grid. * Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python
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the most pressing areas of fundamental understanding which are currently lacking and need to be overcome in order for the four PV device concepts to be optimized. The modelling findings on a range of
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Description The Biobizkaia Health Research Institute (IIS Biobizkaia) announces a selection process for the hiring of a Researcher (PhD) specializing in Bioinformatics. The candidate will join the