365 computer-science-programming-languages-"the"-"UCL"-"U.S" Postdoctoral positions in United States
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Engineering, Computational Biology, Bioinformatics, Biostatistics, Systems Biology, and Statistical Genetics. Proficiency in at least one programming language such as Python, Julia, R, C, C++, Fortran, Matlab
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, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025
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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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international degree granting program Additional qualifications (required at time of start) PhD or equivalent international degree. Preferred qualifications PhD in Computer Science or closely related field
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qualifications: Experience with VASP and high performance computing Proficiency in programming (Python or C or C++ or Fortran) Experience with developing machine learning interatomic potentials A solid background
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informatics and signal processing. Experience with large volumes of physiological and temporal medical data and time series analytics are essential. Strong programming skills in Python and modern machine
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engineering, nursing, computer science, data science, or related field Strong analytical and programming skills Excellent written and oral communication abilities Experience with one or more of: machine
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and capacity evaluations for CO₂ sequestration. This position includes a health, dental and vision insurance program . Responsibilities and Essential Duties • Conduct reservoir simulation modeling
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
/genomic research, education, and training at the interface between biology, chemistry, physics, computer science, mathematics, the social sciences, public health, and medicine to have a profound effect on
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evaluation.This opportunity will prepare candidates for a range of competitive positions in academia or industry that involve computational biology/chemistry, machine-learning for biological or chemical data, and