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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging
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Qualifications PhD in Aerospace Engineering, Mechanical Engineering, or a closely related field. Postdoctoral experience. Mastery of programming languages C++, Python + MATLAB. Preferred Qualifications Experience
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. - Proficiency with Python and data analysis frameworks. - Familiarity with large, complex datasets and modern computational techniques. - Good written and oral scientific communication skills. • Experience
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automate network configurations using Python and Ansible. Collaborate with security teams to ensure compliance and performance. Monitor and respond to system alerts, outages, and performance issues. Assist
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electrophysiology and behavioral datasets. Use tools such as MATLAB, Python, or similar platforms for signal processing and statistical analysis. Maintain accurate records of data and experiments, adhering
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data analysis and development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science
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(e.g., R, Python, C/C++) Excellent communication and writing skills Interested candidates are invited to complete the online application and email your CV and cover letter to Dr. Sapkota ( yadav.sapkota
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, experience managing and analysing ancestrally diverse genomic datasets, and expertise in computational genetics, including variant annotation and genome-scale analyses. Proficiency in R or Python, excellent
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of the following: Python, C++, or Java - Successful experience developing software in either Windows or Linux environments - Experience with version control software such as Git - Willing to travel ~10% to remote
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, Diffusion Models) ○ Proficiency in imaging formats (DICOM, NIfTI) and standards ○ Experience with X-ray CT scan analysis and processing ○ Strong Python programming skills with