34 structures "https:" "https:" "https:" "https:" "https:" "https:" "University of Southampton" PhD positions at Nature Careers in Germany
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various plant and algal species, and follow an interdisciplinary approach, combining molecular biology, genetics, epigenetics, metabolomics, biochemistry, structural biology, biophysics and microscopy with
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English – written and oral We offer: a stimulating, world-leading research environment on biomolecular condensates embedded in a focused, interdisciplinary structured training program with close mentoring
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applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing
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the reference number 27697, via our online portal: Apply now via https://jobs.uksh.de/job/Kiel-PhD-%28mfd%29-Statistical-Genetics-Machine-Learning-Schl-24105/1279933701/ For more information visit: www.uksh.de
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(https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html ). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System Modelling Framework. The objective
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allowance. The employment will initially be limited to three years. Important: Applicants must not have resided in Germany for more than 12 months in the past three years. Group website: https://biophys.uni
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the usual documents by January 9, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https
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January 8, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de
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the application of female scientists. Additional information: Please submit your application until 7th January 2026, indicating the reference number 27635, via our online portal: Apply now! https://jobs.uksh.de/job
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function and structure in vivo and in vitro Apply state-of-the-art methods to analyze synaptic mechanisms and neuronal structure REQUIREMENTS: Above-average Master’s degree in a relevant field Strong