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Field
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required. Required skills: · Experience with Python · Experience with
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to molecular data. Strong knowledge of quantum, medicinal chemistry principles and chemical representations; familiarity with physics-informed ML and drug discovery is necessary. Proficiency in Python and deep
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, or Python. Proficiency in using electromagnetic simulation software packages Strong interpersonal and communication skills, with the ability to collaborate effectively in a team environment. Strong problem
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and sound judgment in data analysis and interpretation Proficiency in R or Python for statistical analysis and modelling Experience leading research teams or managing research projects (for Senior
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ability to work independently and in a team environment. Preferred Qualifications: Experience with real-time embedded systems. Background in AI-control frameworks. Proficiency in MATLAB/Simulink and Python
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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proficiency in R or Python. • Strong organizational and communication skills. • Proven ability to work independently as well as collaboratively in a team setting. • Must be a U.S. citizen or hold a U.S
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fields • Prior experience in analysing EEG data. • Possess strong programming skills (mostly Python) and familiar with statistical methods. • Have good communication and writing skills
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and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at