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or Python Machine learning methods (for the baseline prediction for the reward funds) is beneficial We expect: Strong motivation to contribute to policy-relevant research Strong interest in teamwork and
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circuit design experience preferred Know how to design circuit using one or more of the software listed (Cadence; Fluent use of LT-Spice, Verilog-A, Python, ADS, ICCAP, etc.) Know how to perform circuit
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, RNAseq analysis, R or Python Strong publication record in peer-reviewed journals Excellent written and verbal communication skills Ability to work independently and in teams Required Application Materials
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(e.g., Python, R, Julia) Excellent written and spoken communication skills A demonstrated ability to produce high-quality, peer-reviewed research Position Details: This position will remain open until
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or multilayer networks, applied to biological data • Familiarity with HPC environments is highly desirable • Programming skills in R, Python or equivalent • Excellent communication skills in English
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well as to other tasks related to this research program in order to solve important problems. He/she will likely implement different algorithms in Python and potentially other programming languages. The postdoctoral
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in MATLAB and/or Python. Solid background in experimental design, statistics and scientific writing. Willingness to work in a clinical research environment. Excellent time-management, written and oral
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industrial experts. Nice to have: Proficiency in programming languages (Python, MATLAB, or similar software) for data analysis/model automation. Prior industrial collaboration or scale-up project experience
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. Experience with whole-cell brain slice electrophysiological recordings. 4. Experience with molecular biology, neuroanatomy and mouse behavior. 5. Experience with programming in languages including Python, R
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biology, neuroanatomy and mouse behavior. 4. Experience with programming in languages including Python, R, MATLAB is highly desired.