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Strong research background in statistical learning problems -- especially from a theoretical perspective -- as evidenced by publications Knowledge of MATLAB/R/Python Good written and oral
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/fireworks/aflow). Proficiency in at least one programming language for data science and for numerical computing (e.g., Python/Julia/Fortran). We regret to inform that only shortlisted candidates will be
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simulation for physical systems. Strong foundation in mathematical modeling, simulation and quantum mechanics. High proficiency in scientific programming (Python, C++, MATLAB, or similar), with experience in
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, or a related field. Proven experience in large/small language model development, fine-tuning, or LLM-based applications. Strong programming skills in Python, and familiarity with key libraries such as
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commonly used in genetics and molecular epidemiology. Expertise in R, Python, bash is required. Strong communication (oral and written) and interpersonal skills, and experience working in a large research
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, control, optimization, FEA simulation and experience in robots and sensors will be considered. Proficiency in tools such as COMSOL, Abaqus, SolidWorks, AutoCAD, UNITY3D, Visual C++, LabVIEW, Python, and ROS
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. Proficiency in programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow. Knowledge in imaging and computing device and equipment. Strong communication
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analysis, preferably using software such as SPSS, R, MATLAB, or Python. Demonstrated ability to lead research projects, prepare manuscripts, and contribute to scholarly publications. Excellent written and
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English communication skills, the ability to write code using Python or MATLAB, the desire and ability to work as part of a multicultural team, and a demonstrated ability for creating intellectual value
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(e.g. with Matlab, Python) Experience with neuroimaging techniques (MRI, EEG and/or TMS). Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio, etc. Experience with