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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 13 days ago
institute of the Max Planck Society and is dedicated to the study of human cognitive abilities and brain processes as well as the development of neuroimaging methods. The Brain Networks Group, led by
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, PyMOL, Chimera, etc. Interest in advanced computational methods to improve and understand protein function Interest in entrepreneurship to make a positive impact on planetary and human health As a formal
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(model-based) systems engineering, whilst applying systems analysis techniques based on formal methods, AI, and optimisation and will be expected to submit publications to top-tier conferences and journals
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fellow will carry out the development of theoretical and methodological formalisms in relativistic quantum chemistry, as well as their implementation (Python). The position is within the BRUNCH project
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group – lead by professor Sophia Zackrisson – with a main research interest in innovative imaging modalities and methods in breast cancer diagnostics, focusing on screening and the role of Artificial
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physiology Language skills (English) Intermediate programming skills (R, Python or Matlab) Creative thinking Level of enthusiasm and motivation As a formal qualification, you must hold a PhD degree (or
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potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations to identify molecular
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methods for coating and stabilizing LFP cathodes often face limitations in durability and electrochemical efficiency. This research aims to overcome these challenges by applying innovative coating
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the project include collecting YouTube or social media data and digital news content, using manual and computational methods to analyze this content, and collaborating with the European project team on a cross
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evaluating adaptive Medium Access Control (MAC) and network‑layer protocols to enhance performance in shared spectrum environments. Developing AI‑driven methods for real‑time interference prediction and