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challenges moving forward. Where to apply Website https://www.academictransfer.com/en/jobs/357035/phd-position-automation-ai-for-… Requirements Specific Requirements You have a Master’s degree in a relevant
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Student Assistant (m/f/d) - Integration of 5-Finger Robotic Hand in Robotic Applications (Heilbronn)
, technology management, industrial engineering or comparable. Intrinsic Flowstate (https://www.intrinsic.ai/flowstate) is an intuitive web-based software development environment designed for creating
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on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary IPAC (https://www.ipac.caltech.edu/ ), part of the Physics
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field, e.g., neuroscience, neurology, data processing/analysis. Key skills: proficiency and experience in coding relevant to data wrangling/processing (e.g., python, R, MATLAB); experience with command
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, Python, Java) and good communication, interpersonal, and problem-solving skills are also required for this role. This role meets the eligibility requirements for a skilled worker certificate of sponsorship
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to
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platforms (e.g., social media analytics tools, recommendation engines, Python/R for analytics). Strong commitment to teaching excellence and student engagement. Teaching Experience: Proven teaching or
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potential flapper skate egg-laying sites. The postholder will also generate high-resolution maps and reproducible analytical workflows in R, Python, and GIS platforms. The role involves close engagement with
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with data analysis (R or Python); - Scientific English proficiency; - Valid driver’s license; - Availability to live in Piracicaba, São Paulo state, Brazil. Applications: register at https://forms.gle
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projet ANR 4DPlants (https://4dplants.icube.unistra.fr/ ), financé par le ministère français de l'Enseignement supérieur et de la Recherche, et mené en partenariat par ICube/Université de Strasbourg, RDP