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The candidate will be in charge of developing clonal patient-derived organoid (PDO) models from resections. The candidate will be in charge of developing clonal patient-derived organoid (PDO) models
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modelling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems. The project brings together a
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": based on the microlocal analysis of the problem, an efficient alternative to the standard Finite Element approach can be designed. The main aim of this postdoctoral project will be to adapt the methods
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding
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Keywords Optogenetics, 2-photon activation, large scale electrophysiological recordings, mouse model Lab description Processing of auditory information in the brain is complex because information
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. • Pr. Leif A. Eriksson, molecular modeling of protein complexes, University of Gothenburg, Sweden. Eligibility criteria – The fellowship obtained is part of the BIENVENÜE international post-doctoral
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under the guidance of Prof. Ivan Nourdin. Your role Conduct research in machine learning, deep learning, and probabilistic modeling, with a focus on real-world applications Disseminate research findings
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microbeads form organoids or tumoroids, which are miniature 3D cellular models of biological tissues or tumors. Based on the microfluidic instruments previously developed in the team, you will design and
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reflective decision-making than beliefs which do seem true, and propositions which seem true will influence our reflectively made decisions even if we don't believe them. The role is based within the Institute