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) Life and Disability Insurance Paid Time Off: 20 days of vacation per calendar year, 12 days of personal/sick time Paid Holidays and Special Days Off: https://www.bowdoin.edu/hr/our-workplace/college
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subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website . (https://kemi.uu.se/angstrom/?languageId=1 ). Work duties The
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 7 days ago
degree in a relevant STEM field, including Meteorology, Physics, Mathematics, or Computer Science. -Advanced programming skills with experience handling and analyzing big data (e.g., Python). -Previous
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platforms, supporting user studies, and contributing to innovative projects that explore the future of human-centred technology. Information about the division/the project The Department of Computer Science
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Information Website for additional job details https://www.academictransfer.com/363522/ Work Location(s) Number of offers available1Company/InstituteTU DelftCountryNetherlandsCityDelftPostal
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to swine production, with a particular focus on biosecurity. The position will involve traveling to commercial swine farms to assess biosecurity practices and collect data, conducting data analyses
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underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality-diversity.htm , and also our award-winning work in Disability Inclusive Science Careers https
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago
. Description: Under the guidance of a mentor, the participant will engage in a NASA-aligned research project advancing data-driven approaches to characterize wildfire risk and post-fire vegetation recovery