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way and integrate a large number of different sensors. The data evaluation and modeling of the process will then take place in Python. This involves, for example, the construction of modular systems
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carried out in Python. This includes, for example, the construction of modular systems for vaccine production or the drug coating of balloon catheters. Possible areas of responsibility: Selection and
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., Python, R, MATLAB) Experience in built environment monitoring Fluent English skills, both written and spoken. Ability to publish the research results in high-reputation international journals Personal
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of microbial biogeochemistry Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar Excellent written and verbal communication skills in English
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. Your profile Master’s degree in analytical chemistry, environmental science or related fields Hands-on experience with mass spectrometry (LC-MS or GC-MS) Experience with programming (Python or R) is a
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related field. Python and graphics experience. Familiarity with Unix. Preferred Qualifications Experience in planetary science, modeling gases in atmosphere. Strong record of publications in planetary
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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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Introduction to Programming with Python Supervised Machine Learning Expected Qualifications: Minimum of a Master’s degree related to the area of teaching, with a preference for an earned doctorate (PhD or DBA
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in data analytics and statistical methods, particularly using tools such as R, Python, or other relevant software. Experience with Data Visualization & Programming: Expertise in data visualization
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of programming languages such as matlab and Python. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU