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programming; experience in Python for machine learning and/or digital image processing is preferred. Strong communication skills, both in formal written reports/manuscripts and oral presentations. Language
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regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in R or Python). Excellent
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(e.g. Python, Fortran, Matlab, C++). Skills Demonstrable ability to work cooperatively as part of a team, including participating in research meetings. Ability to work independently on own initiative and
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optimization, with experience in adaptive routing and SDN technologies. Proficiency in programming languages such as Python, C/C++, and experience with parallel computing frameworks. Effective written and oral
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at time of start) PhD in plant biology or related discipline Preferred qualifications 2 years experience in comparative genomics/transcriptomics 1 year experience at the command line (R/Python preferred) 2
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skills in C/C++ and Python Relevant experience in deep reinforcement learning A proactive attitude towards achieving research excellence Demonstrated commitment, teamwork abilities, and critical thinking
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practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial
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, digital twins, or related areas Excellent publication record in high-quality journals and/or conference proceedings Excellent programming skills, particularly in Python and/or C/C++; hands-on experience
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omics (preferably related to neurodegeneration) studies is expected. Preferred Qualifications: Skilled in at least one programming language (R, Python or Perl) and experience working in Linux and/or high
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. • Demonstrated ability or potential to lead graduate student research. • Experience with Matlab, R, Python, C++, or Julia. • Experience collecting data from human subjects. Exempt: Not eligible for overtime