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., amino acids, sugars, fatty acids, lipids etc) is preferred, as well as experience using and/or testing contemporary software for analysis of metabolite data. Demonstrated experience working with non-MS
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molecular cloning, CRISPR, or genetic circuit design Experience with flow cytometry, confocal microscopy, or in vivo imaging (bioluminescence, fluorescence) Computational skills for data analysis, signal
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an understanding of the ecological and evolutionary basis of adaptation and stress responses; demonstrated expertise in genomic data analysis and strong quantitative/bioinformatic skills, including relevant
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analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As
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. The project will provide training in paleoceanography and paleoclimate research, including the development and interpretation of proxy records, quantitative analysis of environmental data and integration
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. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description
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minimum of one year of relevant professional experience and experience with some data collection and analysis Cultural competence related to recovery language, communities, and resources Experience planning
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Hirszfeld Institute of Immunology and Experimental Therapy Polish Academy of Sciences | Poland | about 1 month ago
analysis of experimental data and the preparation of technical research reports. Formal presentation of research results during internal team and project meetings. DUTIES OF THE POSITION (SCOPE, EXPECTATIONS
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analysis, synthesis, and optimization of innovative antenna architectures for 5G-Advanced and 6G scenarios. Where to apply E-mail [email protected] Requirements Additional Information
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/idr Requirements Additional Information Eligibility criteria The public call with detailed attendance and selection rules (Art 4 and 6) can be found at: https://pica.cineca.it/unipv/tipologia/idr