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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
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). Experience working in an accredited laboratory (ISO 17025 or ISO 15189) and conducting biological risk assessments is considered a merit. Proven ability to independently plan, execute, and interpret
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in biology, ecology or forestry, with documented specialization in community ecology, bird or bat ecology, and/or restoration ecology. Experience in design, execution and analysis of acoustic data is
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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge
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ecology, and/or restoration ecology. Experience in design, execution and analysis of acoustic data is desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS
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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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in a suitable software environment, with documented experience. Experience in applying or developing machine learning models for atomistic systems (in chemistry or physics) is advantageous
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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’ learning and experiences in public educational environments, such as the Visualization Center in Norrköping. The goals of the project are to identify AI-guide characteristics, investigate interactions
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to: design and perform experiment in different labs develop hand-on skills to fabricate high-performance battery You are expected to develop your own scientific concepts and communicate the results of your