121 data "https:" "https:" "https:" "https:" "Brunel University London" PhD positions at DAAD
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modeling and computational workflows Knowledge about machine learning: statistics and deep learning Experience in data analysis, visualization and presentation Good programming skills in languages such as
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Immunology was recently founded within the Institute of Molecular Medicine and Experimental Immunology (https://www.immei.de/research/tim-rollenske-laboratory). Dynamic, multidisciplinary, and international
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., (2025) Molecular Plant. Reference: https://www.sciencedirect.com/science/article/pii/S1674205225000280 Tasks include cloning and construct creation experimental design plant growth and survival assays in
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scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
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through the DAAD Portal in the period between 4 November and 4 December. Application documents Documents to be uploaded to the DAAD portal: Information Sheet Online application form Full curriculum vitae in
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of scientific data, writing of manuscripts, presentation of data at conferences Your profile: Excellent university degree (Master or equivalent) in biology, biochemistry, biotechnology, or a related field Strong
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comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here Salary and social benefits in accordance with the collective
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the application you agree that your personal data will be shared among the participating institutions (University of Tubingen, University of Hohenheim, Senckenberg) for the purpose and over the duration
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. The successful candidate should have experience with advanced astrophysical data analysis in the context of multi-mission and multi-wavelength observations including e.g., Fermi-LAT and imaging X-ray
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Description Where: At the Chair for Computational and Theoretical Biology ( CCTB ) and the Center for Artificial Intelligence and Data Science ( CAIDAS ) of the University of Würzburg. Project