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results into practical applications for end users. Subject Description The research aims to develop machine learning models for microbe detection, focusing on the mathematical foundations in geometry and
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students, for up to a maximum of 20% of your time. This position is a full-time temporary employment for two years. Eligibility The applicant should have a PhD degree in a relevant area, such as mathematics
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to illness, parental leave, clinical service, trade union duties or similar circumstances. The PhD degree should be in a computational or life science field, such as bioinformatics, ecology, mathematics
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models into Chalmers’ bridge simulators in collaboration with other researchers. You are also expected to supervise PhD and MSc students and to publish at least two peer-reviewed journal articles during
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sustainability, life cycle assessments, and mathematical modeling. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain
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practice or other forms of appointment/assignment relevant to the subject area. The successful candidate must hold a PhD in one of the following fields: mathematics, physics, computational science, or
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The applicant should have a PhD degree in transport, operations research, applied mathematics, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills
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The Department of Zoology is one of the departments within the Faculty of Science and has approximately 80 employees including researchers, PhD students, and administrative staff. Research and
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at developing and applying computational tools to understand the evolution of biodiversity (see https://islandevolution.github.io/ ). As a postdoc in this project, you will work with mathematical modelling
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interactive multinational and multidisciplinary teamcovering expertise in molecular biology, cell biology, neuroscience, regeneration biology, mathematical modelling, and robotics. The fundamental questions