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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 16 days ago
at national and international level. We are working on the area ofimmunology and infection as part of the NAKOhealth study (www.nako.de ). The infrastructure of thedepartment also includes the PhD Programme
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designed to support a PhD pathway in collaboration with the Institute of Computer Science at University of Bonn. Be part of change Your research focus Learning- and optimization-based methods for physics
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and political science, the Institute´s research program aims to combine and develop the approaches of new economic sociology and comparative and international political economy. The MPIfG is currently
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dynamic English-language PhD programme for exceptionally talented and motivated graduate students in the field of global and transregional studies, bringing together a broad spectrum of disciplines and
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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Eberswalde University for Sustainable Development | Eberswalde, Brandenburg | Germany | about 1 month ago
Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Mar 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Offer Starting
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have already successfully obtained a university degree and a PhD, or are about to complete your PhD, in social sciences, economics or economic geography, and have robust knowledge of quantitative
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Forschungsgemeinschaft and the consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic Ph.D. student with a strong interest in computational microbiome
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What you contribute PhD or master's degree in computer science or a related field with above-average grades Extensive knowledge, keen interest, and ideally practical experience in the field
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry