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methods and potential application of machine learning techniques. Good command of English (B2/C1). The candidate will be responsible for carrying out tasks related to the analysis of experimental data
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– the regulations regarding SONATA BIS 14 - Annex to the NCN Council Resolution No. 59/2024 of June 6, 2024. An ideal candidate will: hold a PhD degree in biotechnology, molecular biology, biochemistry, biophysics
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Resolution No. 59/2024 of June 6, 2024. An ideal candidate will: hold a PhD degree in biotechnology, molecular biology, biochemistry, biophysics, or a related scientific discipline; have experience in wet
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. Data Analysis and Visualization: - Analyze datasets from LEEM/μ-LEED, XPEEM, XMCD/XMLD, and ARPES using specialized software and quantitative analysis methods. - Create clear visualizations of data and
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neurophysiological methods. We will use an innovative combination of in vivo optogenetics targeting activated cells, fluorescent tracers, advanced immunohistological and molecular imaging techniques, fiber photometry