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: Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) Pay grade: 13 TVöD Place of work: Berlin and Hannover Limited for three years Application deadline
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institution. At the Faculty of Biology the Chair of Zoology and Animal Physiology (Prof. Dr. Schirmeier) offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification
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. Before the scholarship starts, applicants must have completed the second semester of their Master degree course. Applicants must be able to prove they have completed a Bachelor degree at a Chinese
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scientists reviews applications. The most important selection criteria: a convincing and well-planned research project or course of continuing education academic achievements Additional documents that prove
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result for first academic exam – top performance third, language skills) Candidates have a Bachelor degree (usually a four-year course) in an appropriate subject Candidates have at least two years
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pathophysiology Basic expertise in toxicology (e.g. through DGPT training courses or relevant study or work experience) Experience in the establishment of test systems Full job description: https://www.bfr.bund.de
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architecture exploration, hardware/software co-design and operating/runtime systems. Typical application domains are e.g. signal-/image processing, artificial intelligence and machine learning. Tasks: research
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already finished at least 2 complete semesters at a higher education institution and be able to prove this with grades. Number of Scholarships about 40 scholarships per year Duration approx. 4 weeks (course
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of Prof. Dr. Frank Cichos and Dr. Nico Scherf (Max Planck Institute for Human Cognition and Brain Sciences). The position is part of a collaborative project in the Center for Scalable Data Analytics and
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or to TU Dresden,Professur für Theoretische Chemie, Herrn Prof. Thomas Heine, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Expenses