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-assisted drug discovery to the analysis of biological and medical images for diagnostic and therapeutic applications. Job Description We are seeking a highly motivated and skilled Scientific Assistant
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FAIR principles, combined with skills in statistical analysis, machine learning and/or data science. Experience with programming languages such as R, Python, or similar will be considered an advantage
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scientific project NALUNG at Rīga Stradiņš University. “The NALUNG (Multi-Omics Analysis for Predicting Response and Adverse Events to Neoadjuvant (NA) Treatment in Re-sectable Non-Small Cell Lung Cancer
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technology development, with contributions to materials, process, or equipment-oriented research and innovation. You bring The position focuses on the development and analysis of e-fuel production plant models
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or equivalent Skills/Qualifications The position focuses on the development and analysis of e-fuel production plant models for the Baltic region, leveraging expertise in advanced materials, process and system
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accordance with FAIR principles, combined with skills in statistical analysis, machine learning and/or data science. Experience with programming languages such as R, Python, or similar will be considered
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, computer vision, NLP, etc.) Work with structured and unstructured datasets; perform data preprocessing, analysis, and validation Collaborate with clinicians, scientists, engineers, and project teams
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qualification in Public Health, Dentistry (BDS), Medicine (MBBS), Epidemiology, or related fields Preferred: Experience and interest in dental public health, health policy, or health data analysis Willingness
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. Applicant has demonstrated the ability to produce data under supervision. Applicant is capable of critical analysis, evaluation and synthesis of new and complex ideas. Applicant is able to explain the outcome