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Description The Graduate School Scholarship Program(GSSP) of the German Academic Exchange Service (DAAD) is offering two (2) doctoral scholarships for aspiring PhD students within the framework
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/ PhD Student (m/f/x) (subject to personal qualification, employees are remunerated according to salary group E 13 TV-L) starting as soon as possible. The position is limited to 3 years with the option
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. At the Institute for Railway Systems and Public Transport, the Chair of Railway Track Engineering offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification, employees
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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Description The Graduate School Scholarship Program(GSSP) of the German Academic Exchange Service (DAAD) is offering two (2) doctoral scholarships to earn a PhD within the framework of “Ancient
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for applying living therapeutic materias. The PhD thesis will be embedded in the Leibniz Science Campus on Living Therapeutic Materials (https://www.lsclifemat.de ), an interdisciplinary consortium aiming
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The Leibniz Institute for Tropospheric Research (TROPOS) is an internationally renowned institute in the field of aerosol and cloud research. The Atmospheric Microphysics Department (AMP) researches atmospheric aerosol particles, their interactions with clouds and turbulence, and cloud...
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06.06.2025, Wissenschaftliches Personal We are looking for 1 PhD Position in Robotics and AI to work at the Technical University of Munich (Garching Campus) within this multi-disciplinary cohort. We
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Description Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) in the Experimental Toxicology and ZEBET department of the German Federal
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=25541 PhD position - Functional and molecular characterization of AI-based morphological predictors