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July 2025 or by agreement Type of Employment Contract: 3 years Application Deadline: 25 May 2025 WHO ARE WE LOOKING FOR We are looking to fill a Researcher II position (roughly equivalent to a postdoc
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instruments and use them together with graduate students and postdocs to acquire data on DNA replication and/or chromatin organization. An aptitude in instrumentation development and quantitative biophysics, a
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, and expertise. The research group at CED works within and across the three departments. The group comprises six associate professors, four assistant professors, two postdocs, and five PhD-students
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simulations and associated methods. You will be expected to publish research in high-profile peer-reviewed scientific journals and present results at conferences. You will also be responsible
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
of New Hampshire invites applications for a non-tenure-track Assistant Research Professor position in Sustainable Engineering. We seek applicants with a strong background in systems analysis and simulation
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, and state-of-the-art infrastructure. Our model empowers visionary leaders to accelerate drug development and harness AI-driven innovation to address unmet medical needs. Benefits of Working with Great
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experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS, Python is an asset ;•Excellent communication
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inferential statistics, model testing, and power analysis Desired Qualifications Demonstrated mentoring and teaching ability in the areas of statistical methods and use research-related tools Experience with
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Your Job: In this position, you will be an active part of our Simulation and Data Lab for Applied Machine Learning. Within national and European projects, you will drive the development of cutting
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Mandarin); and the ability to work independently as well as in collaboration with a multidisciplinary team. Proficiency in longitudinal analyses, and state-of-the-art statistical and epidemiological models