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generation of health data scientists. Areas of expertise include bioinformatics, computational biology, artificial intelligence, network science, Bayesian methods, spatiotemporal methods, visualization
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Word, Excel, PowerPoint, GraphPad, Photoshop, SnapGene, etc Experience in virology, AAV vectorology Experience with handling laboratory animals Special Instructions to Applicants: Applications should
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does not allow for remote work. Required Application Materials A single PDF or Word document containing a resume, letter of interest, and a list of the names and contact information for three (3
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. Experience with cell sorting using flow cytometry is also considered an advantage. Application The application should be written in English or Swedish, and attached documents should be in Word or PDF format
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civil engineering (C2MA), the environment and risks (CREER), and artificial intelligence and industrial and digital engineering (CERIS). It has 12 technology platforms and 1,600 partner companies
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platforms (nano-XRF imaging, aging test benches, X-ray microtomography, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5129-MARCLO-108/Candidater.aspx Requirements Research
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contract: Fixed-term employment contract for three years. Everyday work Perform genome-scale metabolic modelling Integrate omics data Apply artificial intelligence and machine learning approaches Participate
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Description Subject Area 1. Pure Mathematics 2. Applied Mathematics 3. Statistics 4. Computer Science 5. Artificial Intelligence 6. Cyberspace Security Qualifications: 1. Demonstrating strong ethical values
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
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critical thinking and problem-solving skills. Outstanding presentation skills. Experience in graphing, statistical analysis and data management skills. Proficient in Word, Excel, GraphPad, Adobe Photoshop