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Field
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience with large-scale
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
11.02.2022, Academic staff The Chair of Information-oriented Control (ITR) offers a PhD/PostDoc position within the 6G-life Research-Hub „Digital transformation and sovereignty of future
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to apply. Applicants with disabilities are treated with preference given comparable qualification. further information: www.bio.nat.tum.de/cell/home/ The position is suitable for disabled persons. Disabled
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particularly encouraged to apply. Applicants with disabilities are treated with preference given comparable qualification. further information: www.bio.nat.tum.de/cell/home/ The position is suitable for disabled
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generation, sequence analysis, and data management Rapid Evaluation of newly emerging computational tools relevant for protein design Implementation and optimization of experimental workflows for rapid protein
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, ideally ethnographic fieldwork. Experience in qualitative data analysis is also necessary. Experience with participatory design or participatory methodologies is desired. Other forms of experience in
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for disabled persons. 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
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molecular pathways of cancer by analyzing and integrating multi-omics and clinical data. Key Responsibilities Analyze and interpret multi-omics datasets, including genomic, transcriptomic, and clinical data
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-throughput data acquisition Quality control, method validation, and standardization of analytical procedures Collaboration with research groups within BioSysteM and exchange with your Technology hub colleagues