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                architecture and forest structure analysis. We expect you to develop innovative research and report findings in high-impact scientific journals. We expect you to network and collaborate with remote sensing 
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                and flexible work environment, with opportunities for collaboration and networking both within Chalmers and internationally. Chalmers is an employer that actively promotes equal opportunities for women 
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                analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with 
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                on relocating and settling in KTH and in Sweden An interdisciplinary, collaborative, and supportive research group Access to an international network facilitating research exchange Read more about what it's like 
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                Electronics at Umeå University is offering a postdoctoral scholarship for a project that aims to develop hollow-core optical fibers for next-generation communication (including 6G). The postdoctoral 
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                required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially 
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                , and engage with a vibrant network of national and international collaborators. The recruited candidate will work in the AIMLeNS lab lead by Assoc. Prof. Dr. Simon Olsson at Chalmers University 
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                relevant duties/assignments within the subject area. Other merits The scientific work is conducted within the research group as well as in association with a larger collaborative scientific network, and good 
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                written and spoken. Strong communication and organizational skills, as well as a demonstrated ability to produce high-quality results within set deadlines, are essential. Personal motivation and suitability 
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                analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with