51 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at Aarhus University in Denmark
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
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-constrained machine-learning (ML) models in simulations of turbulent flows. You are expected to contribute to research and development in data-driven methodologies for turbulence modeling in LES (i.e., wall and
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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development for postdocs at AU. International applicants International applicants are encouraged to learn about the attractive working conditions and other benefits of working at Aarhus University and in
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preparation for mass spectrometry analysis in the laboratory Learning of data analysis methods and code to understand mass spectrometry data Present your data at lab meetings and (inter-)national meetings
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Science, please see here . Further information If you have questions regarding the position or want to learn more about the project and specific tasks prior to the application, please do not hesitate
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assistance and career counselling for accompanying partners. English is the primary language used for internal communication and teaching, and international candidates are not required to learn Danish. Aarhus
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learning for imaging tasks Prior work with histology–imaging registration or material decomposition Clinical research exposure As a person, you have good interpersonal skills, are inclusive and team-oriented
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. Furthermore, to be highly skilled with strong learning abilities and a positive mindset, it is expected that the candidate will lead all aspects of the project. A profound interest in both the methodological
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immunostainings on cryosections, and acquire and analyse microscopy images to help assess the response of stem cells to hibernation. In addition, you will help with stem cell isolation and cell culture experiments