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, or possibly design or cognitive science as main subject) and one at Tema Technology and Social Change, will collaborate to jointly reach the objectives of the project. More specifically the PhD student
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multisite research project that investigates the possibilities and implications of AI-enabled conversational guides on visitors’ learning and experiences in public educational environments. The Department
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. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science, or possibly design or cognitive science as main subject) and one at Tema Technology
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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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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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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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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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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