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for the position. Experience in tree evolutionary genomics is an advantage. Good English communication and writing skills are required. As postdoctoral appointments are career-developing positions for junior
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, signal processing and/or wireless communication. Basic knowledge of and/or experience in working with reinforcement learning/other machine learning algorithms Excellent command of spoken and written
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are broad, ranging from evolutionary ecology and genetics to studies of entire ecosystems. For more detailed information on our research, please see www.ieg.uu.se. ; The position will be affiliated with
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district heating networks, within the framework of the project "Data Analysis for Peak Load Stabilisation in District Heating Networks (DAS)". The work includes: design and implementation of RL algorithms
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Networks (DAS)". The work includes: design and implementation of RL algorithms to address the challenges of peak load variations in district heating systems development and use of simulation models
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. You have a strong ability to solve problems and formulate algorithms. You also have an interest in genetics and genomics. You are organized, proactive, and can work independently as
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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
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to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and
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-from-motion, and object recognition. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as
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divisome protein complexes. Prokaryotic cytoskeleton proteins offer a fantastic and unexplored world of protein polymer assemblies with diverse similarities and evolutionary aspects comparable