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Field
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Location ESOC, Darmstadt, Germany Our team and mission You will be part of the Mission Analysis Section in the Flight Dynamics Division at the European Space Operations Centre (ESOC). This Division
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regulatory control of numerous virulence factors in different host niches. We are seeking an energetic, highly-motivated postdoctoral research associate to carry out in vitro and in vivo experiments
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
for Integrative Chemical Biology and Drug Discovery. Numerous opportunities exist at UNC for presenting research and developing new skills (i.e. workshops, short courses, internships and collaborations). For a more
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease
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, potentially increasing of adverse birth outcomes. The post-doctoral fellow, supervised by Drs. Amir Sapkota and Michel Boudreaux will perform statistical analysis linking exposure wildfire related air pollution
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a strong background in high-performance computing or in numerical analysis. If you think that you have the requirements above, you should apply for this position. We offer a young, dynamic, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
the graduate program in material sciences, Applied Physical Sciences has united numerous scientific entities on campus to further its mission of finding interdisciplinary solutions to real-world
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(MUCCnet: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based
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: - QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification
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optimisation, distributed-parallel-GPU optimisation (e.g. pagmo2), Taylor-based numerical integration of ODEs (e.g. heyoka), differential algebra and high order automated differentiation (audi), quantum