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Computer-Aided Drug Discovery modeller to join our team. Your new role Your main responsibilities will be to drive Drug Discovery projects by identifying, developing, and delivering high quality modelling
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Department of Computer Science, Aarhus University is looking for a Post Doc in Interaction Techni...
. Tasks The responsibilities of the successful applicant would include research on the above topics in collaboration with other post docs and PhDs at Department of Computer Science and Department
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environmental modelling, including data science methods such as AI and machine learning Proficiency in GIS and R programming or similar Effective communication skills and experience working with authorities
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, dplyr etc.,) and version control system (git, bitbucket etc.). Experience in use of AI and Machine Learning techniques using Python (sklearn, statsmodels, pandas, numpy) is desirable. Solid and proven
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observations, and remote sensing data to assess the impact of global change on ecosystem productivity and sustainability. You will develop novel algorithms to integrate data-driven machine learning and process
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which
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internationally within your field of research. Dissemination of your research to the outside world through scientific publications. Your profile Applicants should hold a PhD in chemistry/physics/materials science
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this date. Job description Recent improvements in machine learning have dramatically improved the accessibility of de novo protein design. In this project, we seek to exploit these developments to interrogate
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Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
approaches—combining additive (MIG welding-based) and subtractive (CNC machining) processes—for the refurbishment of industrial components. The postdoc will focus on characterizing material interfaces and