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; • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge of modelling or simulation. 5. EVALUATION OF APPLICATIONS AND
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Research Grant Regulations (https://files.dre.pt/2s/2021/10/210000000/0013700149.pdf ). Workplace: The work will be carried out on-site at the Visual Computing Lab (NOVA LINCS – UAlg), Building 32, Room 1.50
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Required Experience Background in weed ecology and weed management in agricultural systems. Proficiency with R statistical software. Experience developing interactive data visualization tools or web
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validation of the system and statistical analysis of the data obtained. Preparation of technical reports and scientific articles in English for dissemination of results. Applicable legislation and regulations
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 2 months ago
, structural biology, computational biology or a related field, and experience in computational structural biology, protein structure modelling, AlphaFold/multimer-based analyses, statistics, data visualization
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, protein structure modelling, AlphaFold/multimer-based analyses, statistics, data visualization, and interdisciplinary work at the interface of proteomics, structures and machine learning. Track 2
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psychological experiments: designing and constructing experiments, recruiting and consenting participants, and collecting data. Statistical skills, including data analysis and visualization. Familiarity with
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learning (selected papers): VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining, Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny, Arxiv
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with gastrointestinal research Experience with organoid cultures and/or flow cytometry Proficiency in analysis and interpretation of -omics data Please submit Inquiries to Yash Choksi (yash.a.choksi
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and develop training materials related to energy–water resilience and futures analysis Other duties as assigned Unit URL https://www.uidaho.edu/agricultural-life-sciences/academics/soil-water-systems