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data are essential. This has also been appreciated with the nomination “technology of the year 2019” by the journal Nature Methods. Our research group employs state-of-the-art single cell sequencing
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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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performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take
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responsibilities: creating online surveys, analysing survey data and reporting results contributing to the management of scientific project data and development of structured knowledge resources assisting with
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actively support the compatibility of work and family life and attach great importance to an equal and inclusive culture of cooperation. General information about the IfADo can be found at www.ifado.de
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these results with complementary techniques such as TEM or SEM Data Analysis and Interpretation: analyze experimental data using appropriate methods and software interpret the results in the context of refining
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with interdisciplinary backgrounds. Be part of change Support the team to improve the accuracy of the FEM simulation model Post-processing the simulation results in Python Programming, data analysis and
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. This will give you insights into application-oriented research and the opportunity to actively help shape industrial applications. What you bring to the table Degree in human factors, human-computer
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, independent working style Experience in Computer Vision The weekly working time is 10-20 hours. The position is initially limited to three months, an extension is intended. We value and promote the diversity
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Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
to: Friedrich Schiller University Jena Dean of the Faculty of Physics and Astronomy Max-Wien-Platz 1, 07743 Jena, Germany E-Mail: dekanat-paf@uni-jena.de For questions and information about the procedure, please