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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
animal and human cellular models Single-cell profiling Advanced image processing and analysis Rodent behavior testing facilities In addition, numerous institutional shared resources and core facilities
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on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid state
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, in Portugal or abroad. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20, considering the valuation up to two decimal places. 6.3 — The jury
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/PhD in a mathematical branch of study Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences Ability to integrate
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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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production and integration into complementary systems, as well as synergies with the enzymatic component in the packed-bed reactor. b) Numerical simulation of the various phenomena of biomass decomposition and
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relevant to the project, such as physics. Fluency in English, both in oral and written forms, is mandatory. The candidate should have a strong interest in physics (especially optics), numerical methods, and
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) and theoretical perspective, in collaboration with the “Numerical Astrophysics” research team. Research topics at the IAC include most areas of astrophysics: Solar Physics (FS), Exoplanetary System and
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deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in interpretable ML and mechanistic model discovery. Submit a