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., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department of Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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Teams. Proficiency with software such as Python, C++, MATLAB and ROS; and hardware such as industrial robots, and visual inspection cameras. The successful candidate should have demonstrated experience in
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, atmospheric science, computer science, or a related quantitative field. Certification and Licensing: Prior experience working with atmospheric aerosol data and/or machine learning tools in Python or MATLAB is
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Applications, particularly MS Word, Excel, Powerpoint 2. Experience in R, Python The successful applicant is expected to possess at least a Bachelor’s Degree in Epidemiology, Public Health, Environmental Health
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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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/Python).Further information can be found at:https://www.findaphd.com/phds/project/?p185925If you are interested in this opportunity and would like to know more about it, please contact me via email at
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, such as R, Python, or Machine Learning, to identify patterns in biological factors, disease and mortality; co-supervising and mentoring PhD candidates, MSc and BSc students; collaborating with national and
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(in R and/or Python), and present weekly progress updates. Participates in lab meetings and journal clubs to gain exposure to broader research themes and techniques. Contributes to manuscript
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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