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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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the courses Advanced Mathematics 1–2 and/or Statistics at the TUM Campus Straubing. Your profile: Above average master’s degree in mathematics or (theoretical) computer science with a focus on discrete
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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literacy and basic programming skills (R, Python), or the willingness to develop these skills Analytical mindset, with a keen interest in advancing proteomic methodologies We offer Cutting-edge proteomic
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English Languages Courses are usually held in English. The dissertation is written in English. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 17 hours ago
Dresden University of Technology Course location Dresden In cooperation with Dresden University of Technology Teaching language English Languages The programme is conducted in English. Full-time / part-time
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accepted. Providing GRE General Test scores is highly recommended but not mandatory. In addition, please note that the minimum scores for the GRE General Test (for admittance to the programme) vary based
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme
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of modern physical chemistry, materials science, and biochemistry questions. Our qualification program, measures for recruiting, gender equality and family friendliness are equally innovative and