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ongoing trials on pain pathways, collects and analyzes neurophysiologic and biomechanical data, maintains regulatory compliance, and contributes to a research direction on personalization and optimization
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Posting Details Position Information Posting Number PG191777PD Position Number 00112341 Position Type Post Doc FLSA Exempt Departmental Information Department ID 140201 - Chemical & Biomolecular
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 7 days ago
21 Sep 2026 Job Information Organisation/Company GESIS - Leibniz Institut für Sozialwissenschaften Department Cologne/Mannheim Research Field Sociology » Other Researcher Profile Recognised
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study at the forefront of chronic pain epidemiology, helping to validate an algorithm for identifying neuropathic pain using linked healthcare data. Your work will generate evidence on prescribing
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simulations. Related fields with similar expertise will be considered as well. The incumbent will contribute to research that develops, analyzes and maintains both observational and numerical model data sets
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12 Sep 2026 Job Information Organisation/Company CNRS Department Centre de Recherche en Psychologie et Neurosciences Research Field Neurosciences Psychological sciences » Cognitive science
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! Position Information Job Summary: We are seeking a Postdoctoral Research Associate position is responsible for coordinating and leading drone phenomics and quantitative genetics components of the corn
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Posting Details Position Information Posting Number PG191766PD Position Number 00112313 Position Type Post Doc FLSA Exempt Departmental Information Department ID 147501 - Lampe Joint Department
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 18 hours ago
depletion and radiative forcing by these gases. Additional information about AGAGE and CS3 is available at https://agage.mit.edu and https://cs3.mit.edu . Job Requirements REQUIRED: Ph.D. in a relevant
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 18 hours ago
observational data of non-CO2 greenhouse and ozone-depleting gases (e.g., N2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods. Additional