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a motivated and experienced candidate to work on computational modelling of low dimensional electroactive materials for energy applications. The project will focus on systems based on arrays of stable
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structure, dynamics, and switching mechanisms at the nanoscale, including optical manipulation of polarization states. Design and execution of experiments demonstrating optical control of ferroelectric
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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr.Leticia Tarruell . The Fermi-Hubbard model is a cornerstone model of condensed matter physics. It describes the physics
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bioactives from plant materials Design functional food systems (emulsions, films, encapsulation systems) Assess oxidative stability and shelf life in food model systems Chromatographic, physicochemical and
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study for the evaluation of analytical fingerprinting techniques such as food fraud screening for the improvement of official agri-food inspection and control plans Functions and Tasks: The postdoctoral
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platforms. Experience in development of digital twins or physics-informed machine learning models. Experience in programming (e.g., Python or equivalent) and development of control or data acquisition
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working in the development of gene therapy strategies for neurological paediatric rare diseases using AAV vectors, animal models and iPSC-derived neurons from patients, with the aim to arrive to clinical
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at enhancing biogas production. Development and operation of bioprocesses in bioreactors at both laboratory and pilot scale. Analysis of biological and physicochemical parameters to monitor and control microbial
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hardware constraints, improve system control, and unlock new modes of problem-solving that surpass classical approaches. The ML-QSIM project is built upon a robust multi-node and multi-regional structure
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systems. Key responsibilities Develop modeling tools to assess the environmental and socio-economic sustainability of industrial supply chains and processing technologies. Implement optimization models and