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Cell Signaling” research unit. The “Bioanalytics and intermediary Metabolism” group, headed by Marcel Kwiatkowski, is specialised in mass spectrometric cross-OMICs to investigate molecular mechanisms
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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
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statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural equation modeling). Familiarity with the opioid and endocannabinoid system and topics related
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and Cell Identity, relevant for stem cell biology and cancer. The position will be within the Molecular Signaling and Bioenergetics group headed by Prof. Mathias Ziegler. About the project/work tasks
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ECTS. Applicants must have a grade of C or better on the master's thesis and have a grade point average of C or better for the master's degree. A more detailed description of admission requirements can
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, qualitative methods literacy and a willingness to learn and apply innovative methods (quantitative, qualitative, and mixed) in a multidisciplinary team. The role involves two primary research areas, with
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technologies to coordinate and balance resources according to the needs of the current project mix and milestones. Each project is a complex and uncertain industrial effort, building or upgrading large, capital
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vast amounts of short, irregular biomedical time-series data, including physiological signals, lab results, and interventions. These data hold great potential for supporting high-stakes, complex decision
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description shall not exceed 3 pages, literature references included. It must include a description of the topic, research question(s) and a reasoning of the choices. It should also indicate the methodologies
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open up exciting career opportunities? Are you interested in cable technology and condition monitoring and do you have a strong competence in signal processing and machine learning? As a PhD candidate