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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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. The position is open to applicants with a PhD in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields. The appointment is a fulltime position and is made
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/or medication security and sustainability. The position is open to applicants with a PhD degree in law with a topic that gives a good background for a post doc in this area. The post doc is expected
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of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous
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should hold a PhD degree in molecular biology, biochemistry, cancer biology or related fields. Expertise in biochemistry, transcriptomics, NGS data analysis and basic programming in R/Python is a pre
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. Applicants must have a doctoral degree in geography, geoinformatics, computer science, data science, or a related field. Advanced PhD candidates are also encouraged to apply, however the appointee must have a
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. Applicants must have a doctoral degree in geography, geoinformatics, computer science, data science, or a related field. Advanced PhD candidates are also encouraged to apply, however the appointee must have a
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offered a fully funded contract of up to 3 years. About the position The postdoctoral research position will require developing and applying cutting-edge machine learning methods to computer vision and
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efforts. The Helsinki Lab of Interdisciplinary Conservation Science (HELICS) is an interdisciplinary and internationally recognized team with expertise in conservation science, geography, computer
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and Environment Research Programme The position is for a fixed term period for 2 years and available from September 2025 onwards (or as agreed). The position is based in the Ecology and Environment