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MRC Postdoctoral Research Scientist in Machine Learning Computational Cardiac Imaging Group (3 Years fixed term) Salary: £41,344 plus London allowance £5,385 per annum* London, UK We are seeking a
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We invite applications for a NIH-funded postdoctoral researcher position in our computational lab at UMass Chan Medical School. We develop methods to reconstruct multi-modal, condition-dependent
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Responsibilities: Evaluate data for quality assurance and mine relevant (e.g., bioinformatics, biomedical, cheminformatics) databases. Perform basic analysis, algorithm implementation, programming, and quality check
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nonadiabatic dynamics. Interest in extending methods that allow the application of quantum algorithms, using quantum simulators or/and quantum computers for quantum chemistry. Strong programming skills
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applications from all areas of experimental and theoretical/computational bioengineering. We particularly encourage candidates whose work includes aspects of Device Bioengineering and/or Computational
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integrate data, develop novel algorithms/methods and provide quality assurance for this work Independently manage and coordinate research projects on the above-mentioned topics and independently acquire third
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focuses on combining novel genome engineering tools (e.g., CRISPR-based) and computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher
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Description We are seeking a motivated new PhD candidate or Postdoctoral Fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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computational approaches to uncover novel biomarkers and therapeutic strategies for CNS disorders. Key Responsibilities: Develop and implement algorithms for multimodal image fusion, combining data from MRI, PET