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: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and
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. Python, Julia, C++, R); experience with sequencing (NGS) data, geometry or graph algorithms, statistical inference or machine learning; error-correcting codes or information theory; molecular modelling
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theory, network science, resilience theory, disruption modelling, mobility systems, urban analytics, computational social science, agent-based modelling, causal inference, or spatial data science
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documents: degree certificate or a statement of the expected date of defense, and two references with email addresses. We will happily handle your application via our ATS (Applicant Tracking System) ReachMee
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A well-documented track record of research interests and achievements in an area strongly related to the project You are expected to be somewhat accustomed to teaching, and to demonstrate good
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on the candidate’s profile and selected research track. About the research project DRIVE PR – Data-Driven Product Realisation is a large collaborative research initiative at Chalmers University of Technology and the
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to the following qualifications: Research track record: A strong record of high-quality research and publication in English-medium instruction or relevant related areas, with clear evidence of intellectual ambition
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CNS. Your profile We are looking for highly motivated, independent, and self-driven candidates, with a strong track record and relevant experience during the PhD. The successful applicant is expected
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no later than the time the employment decision is made Strong written and verbal communication skills in English A well-documented track record of research interests and achievements in a field relevant to
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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred