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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | about 12 hours ago
molecules involved in these processes. We utilise our findings to develop new diagnostic methods and anti-infectives based on natural products. The ILRS PhD projects try to answer these intriguing questions
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to sense and respond to mechanical signals (e.g., stiffness, shear stress), to initiate angiogenesis, and to form luminal vessels. These findings offer clues that can be used to better understand and to
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integrity. You will join the Web Information Systems group (WIS), and will be supervised by Dr. Avishek Anand (WIS group) and Dr. Justin Dauwels (Signal Processing Systems group). The research will span
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1 Research Fellowship (Master) - 101112877 - UPSTREAM - HORIZON-MISS-2022-OCEAN-01-04 - #NOVAID-B396
phase may be replaced by a declaration of honor as stated in point no. 2). * For academic degrees conferred by a foreign higher education institution, it is mandatory to present the record of recognition
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additional information submitted through other means will not be accepted. All Call procedures, such as submissions, evaluation process, pre-hearings, disclosure of results, and complaints, will take place
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of this innovation. However, achieving high polarization purity and polarization diversity in these systems remains a significant challenge, especially while scanning, crucial for minimizing signal interference
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of grades (copy of original/official English translation). Completed TEK PhD application form for 5+3 applicants. Find the form at the Faculty website . Completed TEK PhD form for calculation grade point
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process. · In your application, we ask you to indicate and motivate which of the two positions you are applying for. In the second stage we will also ask you to provide examples of (or a link to
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brain signal analyses Strong background in experiment programming and statistical analyses Excellent written and oral communication skills in English Specific Requirements Experience in participating in
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Neuroscience, or other relevant areas. Experience with brain signal analysis. Strong background in programming and statistical analysis. Excellent written and oral communication skills in English. Specific