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. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical
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2330). More information about the Vogel lab can be found at www.helmholtz-hiri.de/en/ . Applicants should have a doctoral/PhD degree in molecular biology, microbiology, or biotechnology. Further
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/d). Project overview Protein design is a rapidly evolving field, with machine learning taking an increasingly important role in the development of novel protein biotechnologies. Yet, computer
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 4 hours ago
characterization and advanced approaches to data analysis, atomistic details of thermal catalysis and electrochemical reactions at gas/solid and liquid/solid interfaces are revealed. In particular, structure
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-weighted magnetic resonance imaging to comprehensively characterize the tumor microenvironment (TME). Tasks will involve the development of improved biophysical models and corresponding MRI data acquisition
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
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, genetics, multi-omics data analysis, and/or genome annotations (R or Python skills desirable) • Prior experience in engineering Aspergillus spp. is a plus • Strong motivation for interdisciplinary research
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science and implement them in industrial practice as partners to industry. The department Biomedical Data Science & AI is dedicated to the development and application of cutting-edge data science approaches
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well as the processing and publication of multimodal sensor data. Scientific design and definition of measurement strategies for two-stage thermographic inspection (passive and active) inside rotor blades Selection
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analyses, data interpretation, and visualization of clinical trial datasets Perform comprehensive bioinformatics and statistical analyses of high-dimensional omics datasets (spatial, single-cell, and bulk