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communication are regulated (1-3). The successful candidate will focus on the dynamics and molecular mechanisms of the Interplanar Amida Network (IPAN) – a membrane protrusion network – using a multidisciplinary
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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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for a fixed-term. The position will be filled for a 2-year term starting at the earliest convenience. Our mission The lab's mission is to unravel fundamental mechanisms that control the elongation phase
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environmental and health policy; measuring the societal costs of taxation; analyzing the influence of the public sector on firm birth, growth, and productivity; and taxation and development. Our research utilizes
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GBIF), conservation knowledge (e.g., the World Database on Protected Areas), environmental (e.g., remote sensing), threat (e.g., land use change), digital (e.g., Wikipedia), and socio-economic (e.g
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Start date: Autumn 2025 Duration: 3 years, with a 1-year extension negotiable Location: Department of Computer Science, Aalto University, Helsinki, Finland Apply: Applications reviewed on a rolling
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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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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. 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