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, Seebeck coefficient, etc. IA-driven data analysis and smart growth implementation For the first three activities, the PhD candidate will benefit from the broad range of expertise and facilities available
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methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular presentation
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(12):1741-1748. Duties The postdoctoral researcher will apply and develop computational methods for the analysis of whole-genome sequencing and other NGS-based data from patients, and will design
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are now launching global initiatives, as well. All the BIP Lab’s research and research-informed programs are informed by systematic data collection and analysis conducted in partnership with community
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landscape constrains or enables discovery. The project draws on tools from topological data analysis (e.g., persistent homology, Euler characteristic curves, discrete curvature), machine learning (e.g
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analysis and model-data fitting. We seek highly motivated and creative individuals with a good command of the English language and with expertise in the areas mentioned. Website for additional job details
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language, most people also speak English. YOUR TASKS The Marchal lab (IDLab/IMEC Ghent University,https://idlab.ugent.be/people/802000961346) has an open PhD position within the Marie Sklodowska-Curie
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | about 1 month ago
of sustainability in the agri-food sector - Data analysis and curation - R programming Specific Requirements Prior knowledge of database management and statistical and graphical analysis. Knowledge of the agri-food
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familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
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. Data Management & Analysis o Maintain accurate records of program data, communications metrics, and event outcomes. o Analyze trends to inform strategic decisions and improve outreach effectiveness