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the recruitment process. Apply now and join a community committed to transforming society and the economy. Explore "Our Exceptional People , Our Values and Behaviours " page to learn more about our commitments and
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: Professor Eija Vinnari, Head of Doctoral Programme, eija.vinnari[at]tuni.fi For more information about the recruitment process, please contact: HR Specialist Anni Zilliacus anni.zilliacus[at]tuni.fi
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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: The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act
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for standardized analyses Collecting and processing biological samples (e.g., blood, muscle biopsies) Performing basic laboratory techniques, such as western blotting, ELISA, and PCR Collaborate professionally and
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device nanofabrication and clean room processing of 2D materials (required). Skill sets of handling low-temperature and ultra-high vacuum systems, such as molecular beam epitaxy (MBE) or STM experience
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in 2D convolutional neural networks in Python. This is a part-time position (5
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, Animal Sciences, at the Centre for Functional Ecology of Department of Life Sciences of Faculty of Sciences and Technology of University of Coimbra. Reference/ Project: 15579 - Operation Code: COMPETE2030
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity