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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28159 Postdoctoral Researcher – Translational Oral Biofilm Research (m/f/d) Stellenanzeige merken
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, Colloborative Governance, and Social Network Analysis. The position is part of the research centre-of-excellence CenSSUR, financed by the Swedish Civil Defence and Resilience Agency (MCF). The project studies
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construction, data harmonization, statistical analysis, and reporting. Mentoring and professional development The postdoctoral associate will participate in regular one-to-one meetings with the PI, weekly
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methods for the modelling and causal analysis of mass transit systems. The research will focus in particular on the development and application of data science methods to address key challenges in capacity
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patterns, and (4) environmental impact assessments. For more information on the project, see https://sustainability-governance.net/2026/06/29/erc-advanced-grant-gap… . Location Leuphana University Lüneburg
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and
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statistical modeling and analysis of human performance data (reaction time, workload, situation awareness), including mixed-effects/multilevel models. Programming proficiency in Python, R, and/or MATLAB
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. Training is available in a variety of super-resolution quantitative microscopy and image analysis techniques, and mass spectrometry. PI commitment to mentoring and career development opportunities tailored
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interconnected infrastructure networks you build and maintain databases of adaptation measures and evaluate their effectiveness using quantitative methods you collaborate closely with infrastructure operators
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professional network supporting your future scientific career. Key Responsibilities Design and execute mass spectrometry–based workflows for the identification and quantitation of disease-associated antigens