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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein-Westfalen | Germany | 3 days ago
cohorts Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or Diploma in
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. We are looking for a highly motivated person with a passion for driving research development forward. The ideal candidate has a solid background in data analysis, excellent problem-solving skills
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degree (in progress) in a relevant area of focus 5.Knowledge of various statistical research-based software programs ( STATA , SAS , R, SPSS , etc) and data visualization tools (Qualtrics
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degree (in progress) in a relevant area of focus 5.Knowledge of various statistical research-based software programs ( STATA , SAS , R, SPSS , etc) and data visualization tools (Qualtrics
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein-Westfalen | Germany | 2 months ago
behavior analysis Planning and execution of stimulation and inhibition experiments to dissect signaling pathways regulating neutrophil function in the melanoma context Data processing, analysis
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parameters, are inevitable. Specifically, the improvement of emission inventory data by data assimilation applications has demonstrated strong positive impact on the analysis’ performance. However
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in ecological modelling, network analysis, dynamical systems, and linking theoretical approaches with empirical ecological data. Ability to work independently while contributing constructively to an
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statistical modelling and visualization Analyse sequencing-based and potentially other omics data Contribute to experimental planning, data management, manuscript preparation, seminars and scientific
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cellular models (cancer/healthy/immune) and planning exposure paradigms (acute or chronic scenarios). The applicant will also handle data analysis, interpretation, and visualization, write manuscripts and
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British Virgin Islands (BVI). To facilitate the analysis of this extensive corpus, the project will explore advanced data analysis methods, visualization tools, and generative AI technologies, including