19 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions at Linköping University
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in Generative AI-Driven Data Synthesis for Building Energy Modeling, placed at the Department of Science and Technology, Division for Media and Information Technology, Campus Norrköping. The postdoc
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integrity in the design process calls for a technical model of the product concept, i.e., mathematical models of the product and its in-service environment, which inevitably must incorporate the influence
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into consideration. We are seeking applicants who have a PhD degree in machine learning, statistics, scientific computing, computational chemistry, applied mathematics, or a related area that is considered relevant
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applications from candidates with expertise in one or more of the following areas: electrochemistry, Hydrogen/Oxygen Evolution Reactions, laminated 3D materials synthesis, 2D materials synthesis and
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modeling, device physics, nanotechnology, biotechnology, and system design. Our activities span the range from basic research to commercialization, the latter carried out in close collaboration with
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collaborate with other lab members. You will work with preclinical models of brain injury, perform behavioral assessments, tissue processing, immunohistochemistry and stereology, gene and protein analysis
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and international network between PhD students, postdocs, researchers, and industry (https://wise-materials.org/research-school/ ). Competitive salary: Postdocs are employed with a monthly salary of
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the finite-difference time-domain method. Your qualifications By the start date, you have graduated with a PhD or equivalent in a relevant field for the position, such as physics, materials science or
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these may be taken into consideration. You should have a strong background in mathematics and experience in digital forensic analysis, machine learning, and visual data processing, with a record of
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excitability, with the aim of providing insights into physiological, pathological and pharmacological effects. For clinical material, you will, for instance, perform analysis of biochemical data (proteomics