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of the project NanoMuscles funded by the FNRS. The NanoChemistry & Molecular System group employs single-molecule techniques, AFM and optical tweezers, to study the operation of small synthetic molecules and
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); candidates holding a PhD in Law or a closely related discipline are encouraged to apply and will be appointed as Postdoctoral Researcher; demonstrated interest in digital health, artificial intelligence
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as a member of the GHER contributing to the EU research project COMEDI in a consortium of 11 leading partners in the field of data assimilation and deep learning. A successful applicant will develop
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position within a Research Infrastructure? No Offer Description We are looking for highly motivated Postdoctoral Researchers in Battery Modelling and Multiphysics Simulation to develop a modelling framework
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engineering, or related discipline. Experience in viral vector technology, bioprocess development for rAAV and particularly retroviral vectors and virus-like particles (VLPs) Expertise in translating laboratory
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. This project explores the use of laser-printed metal chalcogenides on flexible substrates to develop high-performance thermoelectric harvesters and coolers for wearable applications. In this project, the postdoc
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specifically, you will be responsible for developing and testing 3D electrodes. You will study the effect of hydrodynamics, shunt currents and dynamic flow regimes in redox flow batteries and design. You will
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modelling approaches bridging EMT and system-level studies. The researcher will contribute scientifically through independent research, supervision of PhD students, publications in leading IEEE journals
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PhD in a relevant field such as microbiology, molecular biology, genomics, bioinformatics or a related discipline and you have not resided or carried out any primary activity in Belgium for at least 12
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should be motivated to develop AI methods and apply them to clinically or epidemiologically meaningful research questions. We are particularly interested in candidates with experience in longitudinal data