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Paravision Micro-CT, optical imaging, photoacoustic imaging, PET, or SPECT Artificial intelligence or machine learning for biomedical image analysis Python, MATLAB, C++, or similar scientific programming
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should have a Ph.D. in genetics, computer science, bioinformatics, computational biology, or a related field. Proficiency in one or more programming languages (e.g. python, C++, etc.) and in Unix-based
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
microscopy and ultra-high-field imaging Neuroimaging software (SPM, FreeSurfer, hMRI toolbox) Programming in Python and/or MATLAB Multimodal data integration Complementary elemental analysis (e.g., PIXE, XRF
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, or machine learning) Experience working with various animal models Ability to work in an interdisciplinary research environment Specific Requirements Programming experience (Python and R) Experience with
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, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at/ . To learn
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with in vivo calcium imaging (either neurons or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium
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Posting Summary Logo Posting Number RTF00197PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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of using bioinformatic platforms in life science research. The candidate should be proficient in at least one programming language (e.g., R, Python, C, or C++). The candidate should have strong expertise in
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, completed by the start date or within six months of hire Demonstrated quantitative research skills, including experience with longitudinal or pre/post designs and proficiency in R, Python, Stata, or SPSS
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years. Demonstrated research experience in cropping systems, evidenced by peer-reviewed scientific publications. Experience in data analysis and modeling using R and/or Python. Knowledge of statistical