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Field
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patch-clamp electrophysiology, Experience with RNA-seq, and Experience with MATLAB or Python What We’re Looking For: Must be highly organized, reliable, and goal-oriented. Ability to work both
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especially LLMs, evidenced by publications and/or dissertation or equivalent evidence of expertise and completed research outputs Proven ability to write code in Python Experience working in a research team
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skills in R and Python. Demonstrated experience with the handling and maintenance of crops in field-based and controlled environments, and genetic transformation of cereal crops. A strong track record of
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modelling and statistical computing programs and languages such as Python and R Please refer to the Position Descriptions for other duties, skills and experience required for this position. Welcome
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. Candidates must also have excellent programming skills in a relevant scientific language, such as Mathematica or Python, to facilitate advanced data analysis of measurement outputs. Apart from being able
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experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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constructive feedback, and strong organizational skills Passionate and clear about your own research interests Adept in running statistical analyses (e.g., Stata, R, SAS, MPlus) and/or in coding (e.g., Python
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) to genome-scale datasets · Extensive programming experience in R and/or Python (ideally both) · Strong writing, communication, and interpersonal skills, including a proven ability to work both independently
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components (low-noise amplifiers (LNAs), power amplifiers (PAs), mixers, oscillators etc) Experience in designing analog and mixed-signal circuits for RF applications. Knowledgeable in python programming, AI