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tracking immune cells in cell culture and murine models of inflammation and cancer Conducting histological analysis for validation and correlation of imaging results Analyzing imaging data and contributing
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For information on moving to Ireland please see www.euraxess.ie Detailed Project Description This is an exciting opportunity to undertake a PhD as part of a Research Ireland funded project investigating the gender
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devices. The project will involve significant collaboration, sample exchange, semiconductor and device characterisation. For more information on the position please contact Prof. Phil Dale or Prof. Alex
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to teaching activities (1-2 course hours per week or equivalent through student supervision) For further information please contact Prof. Frank Scholzen ( ) Your profile A Master's degree in Engineering (Energy
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for analysis of the data you create. Your findings will be a vital part of understanding the evolution of cancer drug resistance in cell models and in patients. About you: You’re excited about our research
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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@mpinat.mpg.de Apply now Max Planck Institute for Multidisciplinary Sciences Research Group for Sustainable Biocatalysis Dr. Andreas M. Küffner Am Faßberg 11 37077 Göttingen Germany www.mpinat.mpg.de/ Information
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@mpinat.mpg.de Apply now Max Planck Institute for Multidisciplinary Sciences Research Group for Sustainable Biocatalysis Dr. Andreas M. Küffner Am Faßberg 11 37077 Göttingen Germany www.mpinat.mpg.de/ Information
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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
, Environmental or Soil Science Write and speak English fluently Knowledge of handling and analysing experimental data Ability to work independently and as part of a multidisciplinary team Experience in field
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. The research group led by Martin Enge is specialized in methodology-driven analysis of patient data, especially in the field of single-cell multiomics. We are a multidisciplinary group with expertise in both dry