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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our research aims to optimise personalised treatment approaches for atrial fibrillation patients by using...
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systems, healthcare policy, patient safety, and nursing informatics. Familiarity with federal and private funding mechanisms for nursing research. Equipment Utilized Physical Demands and Work Environment
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global...
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Computer Science Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable, systems development experience is an
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21 Aug 2025 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Psychological sciences Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 14 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through...
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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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Science Applied Ecology Renewable Energy Behavioral Ecology Biostatistics, Statistics, Computer Science, Public Health, Data Science Chemical and Biomolecular Engineering Civil and Environmental Engineering
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods