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(HR) Finance (FIN) Education and Student Affairs (E&S) Erasmus Digitalisation and Information Services (EDIS) Real Estate & Facilities (RE&F) Engagement & Research Services (ERS) Marketing
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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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At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | 15 days ago
lead and contribute to innovative research projects involving large-scale genomic and multi-omic data analysis in neurodegenerative diseases. The fellow will be expected to: Perform computational
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related topic; experience with plant mineral homeostasis and/or tomato research; demonstrated expertise in the analysis of large data-sets; a strong interest in experimental research; an excellent oral and
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populations. Applicants must hold a doctoral degree (Ph.D.) in Nutritional Epidemiology or a related field, with substantial experience in dietary analysis, epidemiologic study design, big data handling, and
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, root imaging) with biogeochemical, microbial, or environmental sensor data. Experience analyzing large datasets in reproducible formats (R, etc.) Demonstrated interdisciplinary and systems-level approach
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materials: • Curriculum Vitae • Copy of PhD diploma • List of publications • Motivation letter • Contact data (e-mail) to at least two scientists willing to provide reference letters. • Consent to process
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originating from the transition towards a more sustainable society and focuses on four areas: The department’s ESP Laboratory brings together High Voltage testing, DC Grids environment, and large RTDS for real
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viral vectors, cell culture, flow cytometry, and recombinant protein production is required. The candidate must have technical proficiency in mass spectrometry data analysis, large-scale data processing