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knowledge gaps relevant to the Quality Use of Medicines, and use findings to inform study design, analysis and interpretation. Undertake data collection, data management and data analysis, including
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Boehringer Ingelheim International GmbH | Biberach an der Ri, Baden W rttemberg | Germany | about 11 hours ago
discovery, or functional validation. Proficiency in scientific programming and quantitative data analysis. Ability to formulate testable hypotheses and develop a realistic, innovative research plan suitable
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) to soft matter or related systems; basic knowledge of scattering data modelling is essential. Data analysis skills and programming experience in Python or MATLAB. Ability to work effectively with multi
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Job Description Apply now Job Title: Postdoctoral Associate - Cardiac Electrophysiology Division: Medicine Work Arrangement: Onsite only Location: Houston, TX Salary Range: $63,480 FLSA Status
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 8 days ago
science and other instrumental analysis techniques to investigate the links between electrode surface topology and electrocatalytic activity, selectivity and stability. The focus is on reactions
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: It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline Experience with optical instrumentation and quantitative signal analysis
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collaboration and provides access to high-resolution molecular analysis technologies. Mandatory requirements • Experience preparing clinical samples for multi-omics analyses, particularly transcriptomics and
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(TCR) repertoire analysis Translational studies supporting human malaria vaccine clinical trials Primary Duties and Responsibilities Design, develop, and execute independent and collaborative research
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fluency in Cantonese), and demonstrate strong skills in statistical analysis, data management, and project coordination. Applicants should also exhibit the ability to work independently and collaboratively
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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced