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research, including e.g. plant-based meat analogues, carbon capture and formulation and purification of biopharmaceuticals. The Membrane group (https://www.membranegroup.lu.se/) at PLE is the most
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various public health topics and may include building R Shiny or other dashboards, recurring data reports, and automated data pipelines. Write programs in R and/or Python for data preparation, standard
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California State University, San Bernardino | San Bernardino, California | United States | 3 days ago
. MINIMUM QUALIFICATIONS Must be a current CSUSB graduate student in Computer Science, Computer Engineering, or a closely related field. Minimum GPA: 3.0 Strong programming ability (e.g., Python, C++, or Java
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of numerical methods for multi-physics application, specifically using Chimera/overset meshes and with applications to shocks Experience in programming in Python and C++, and in using scripting languages
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 months ago
presentations and publications within the scope of the own professional field of activity Master’s degree in data science, informatics, neuroscience, or comparable qualification Previous experience in Python
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship The section is developing laboratory test setups and simulation tools in the areas
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, including data pre-processing and integration of complex datasets. · Advanced Programming and Analysis: Implement and optimize complex programming techniques using tools like R and Python to conduct
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. Preference will be given to applicants with animal handling experience. Some basic computer science background (python or R programming) would be useful. Anticipated Pay Range: Duke University provides
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for the following courses for Summer 2026: BIOE 002: Fund Molecular Biology BIOE 021: Introduction to Computing with Python BIOE 104: Biotransport Phenomena ENGR: 080: Stat Model Data Analysis Other courses as needed
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forecasting. Proficiency with statistical computer languages such as Python or R. Proficiency with relational database systems (SQL) and object-based data stores. Ability to define and solve logical problems