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candidate should be able to show research experience in national and/or international projects on process modelling and simulations, including both steady state and dynamic modelling and techno-economic
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; rather, they will be developed in dialogue between teachers and researchers based on the needs and interests of the schools. For more information ULF at Chalmers see: https://www.chalmers.se/institutioner
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analysis, including approaches such as GWAS, RNA-seq, or pan-genome analysis. Experience with fungal systems or biocontrol research is an advantage, but not a requirement. Excellent communication skills in
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the time the employment decision is made. Strong written and verbal communication skills in English. Experience in machine learning, scientific computing, computational physics, computational chemistry, or
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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
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, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories. This postdoctoral position is
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python
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in English Experience in mixed-method analysis, ie. both qualitative and quantitative analysis Ability to work both independently and in interdisciplinary research teams You are expected to be somewhat
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related field. This eligibility requirement must be met no later than the time the employment decision is made. Strong research experience in AI, machine learning and optimization with publications in top
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lead to attractive future job opportunities in academia or industry. Being part of this research project gives you the one-of-a-kind experience in form of doing experiments at the world´s first 4th