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molecular and cellular biology research. Significant experience in human T cell culture, flow cytometry and molecular biology, is required. Solid experience in the bioinformatic analysis of scRNAseq data and
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. Experience in experimental data analysis and modeling of nutrient release processes. Hands-on experience in field preparation and establishment of multisite field trials under different soil and climate
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performance. 3) Detector systems: Characterization and modeling of HxRG detector readout schemes and analysis protocols. 4) Data analysis: Experience with instrumentation data analysis software and algorithms
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techniques) as well as early universe cosmology (cosmic inflation, reheating, neutrinos, baryogenesis, dark matter, cosmic defects, CMB, large scale structures, gravitational waves cosmology, data analysis
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analysis. - Define one (or several) precise research questions and perform data analysis to explore them. - Write scientific papers and give scientific presentations in international meetings. - Participate
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 4 days ago
of this type of fellowship must also have carried out the research work that led to the attribution of the PhD degree in a host institution other than i3S. Additional Information Website for additional job
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increasing independence over time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process
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27 Nov 2025 Job Information Organisation/Company Institute of Physical Chemistry, Polish Academy of Sciences Department Team 6 Nanoelectrochemistry Research Field Chemistry » Analytical chemistry
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ecological data collection and analysis. Demonstrated hands-on experience using a variety of laboratory equipment and techniques. Mastery of lab procedures and instruments essential for conducting effective
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
techniques, model validation and analysis, and database construction. PREFERRED: Experience with modeling of plasma dynamics (particularly turbulent transport and pedestal physics); experience with data-driven