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to the investigatory activities of the laboratory. Writes simulation software in Python and C++ for protein structure simulations and use of Artificial Intelligence (AI) driven prediction tools. Generates and analyzes
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in Python and working in the Linux environment is required. The ability to work with large datasets and basic data management skills (GitHub) are also expected. The Candidate’s responsibilities will
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sequencing, flow cytometry, imaging and computing infrastructure. More information on the Lange Laboratory can be found at https://langelab.med.ubc.ca/ . The Lab is part of the Canadian Pediatric Cancer
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decision-making, industrial IoT, and smart-factory technologies to enhance efficiency, quality, and customer service. (https://www.listerwindows.co.uk ) The successful candidate will have full access
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Fellow (Multiple Positions) Posting Number req24927 Department AZ Inst for Resilience Department Website Link https://lovejoycenter.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 24 days ago
January 2026.The fellowship is not renewable. It is mandatory to formalize applications with the submission of the following documents: B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos
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Postdoc for the study of age-dependent colorectal cancer metastasis 100% Department for BioMedical Research, https://www.dbmr.unibe.ch/, UVCM, Gastroenterology Start of employment: 01.03.2026 or as
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management plans and protocols Updating and quality control of incorporated data Where to apply Website https://www.idival.org/empleo/ Requirements Research FieldMedical sciences » Health sciencesEducation
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and python for applied statistical analyses Experience in analyzing next generation sequencing data Experience in linear models and experimental design Qualifications: Masters degree in Statistics
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algorithms. The post-doc will carry out theoretical work on causal abstraction and causal alignment, implement algorithms and experimental pipelines in Python/PyTorch, and run experiments on GPU clusters