699 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Germany
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Field
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advantageous Good communication and information behaviour, goal-oriented and structured way of working Ability to work in a team and willingness to cooperate, willingness to learn We offer: Attractive and modern
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that learns to map the target path and current sensor data directly to motor control variables. The focus is on evaluating the extent to which such an approach can improve portability to new vehicle types and
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allowances, if applicable. See here for further information. Application Papers Application forms and further information on the application procedure can be found here . Application Deadline Closing date
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of entrepreneurship and/or family business, • possesses solid knowledge of empirical research methods, ideally in quantitative, qualitative, or experimental research designs, • demonstrates proficiency in data
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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
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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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actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad
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System, particularly in coastal environments Further information: For questions, please contact Prof. Dr. Nils Moosdorf, email: nils.moosdorf(at)leibniz-zmt.de Details of position: Salary will be paid
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to conducting animal experiments; FELASA course desirable, not required Experience with hiPSC cardiomyocytes desirable Independent data analysis and statistical evaluation (e.g. with Prism) Very high motivation