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                implications for the development of the TES4DM low-voltage cryogenic detector technology, including assembly, instrumentation, operation, and analysis of data from validation tests on the cryostats of the IP2I's 
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                sciences. The fellow will work alongside Dr. Leslie McClure, Dean of CPHSJ, and contribute to the development and application of advanced statistical methodologies to analyze large-scale health-related 
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                programming experience; apply by sending CV and transcripts to alanwar@tum.de About the Role: Join us to push the state of the art in formal verification and reachability analysis for discrete-space systems 
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                As a postdoc within the Department of Biomedical Data Sciences and healthcampus The Hague, you will play a key role in studying 1) the concentration of socioeconomic differences in health and 
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                Experience in advanced statistical analysis models Experience working with large imaging datasets Experience in advanced MRI sequence and analysis Ability to work well in a multidisciplinary team 
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                solving it. Ability to multi-task and work cooperatively with others. Preferred Special Knowledge, Skills, and Abilities: Small molecule isolation using chromatography Genome and transcriptome analysis 
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                Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Educationconsidered for appointment as a Senior Research Assistant. The appointee will work closely with the Principal Investigator and the project team in the “Psychometric and Statistical Analysis for Assessing 
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                immune responses. * Use of molecular approaches to study viruses, single cell analysis and analysis of immune responses contributing to neurovirulence. Preferred Qualifications: PhD or Postdoc experience 
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                supervision of doctoral students working on projects as part of the initiative, performing analysis in close contact with the associated clinical researchers and taking responsibility for completion of data 
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                analysis of data from the ATLAS experiment. The L2IT team plays a leading role within the ATLAS collaboration in the reconstruction of charged particle tracks using geometric deep learning (GDL). The person