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algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
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ability to work independently and capacity for teamwork What We Offer a varied job with flexible working hours free use of public transportation (“LandesTicket Hessen”) the possibility to attend more than
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
Hands-on experience in basic organic chemistry methods - synthesis and purification Desirable knowledge of Material science Excellent self-organizational skills, ability to show initiative and work
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, Regional Science, Economic/Quantitative Geography, or Mathematics knowledge and experience in spatial equilibrium modeling (e.g., through coursework, thesis work, or previous projects) is beneficial
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International Max Planck Research School on Elementary Particle Physics | Garching an der Alz, Bayern | Germany | about 16 hours ago
Research FieldPhysics » Other Additional Information Work Location(s) Number of offers available1Company/InstituteMax Planck Institute für PhysicsCountryEuropean UnionCityGarchingPostal
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The Network Analysis and Modelling uses machine learning to investigate how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. We are seeking a
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: 22.08.2025 Job description: As part of the interdisciplinary research project QS4Physics, you will work on developing a platform that enables the integration of such sensors into existing synchrotron beamlines
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spectroscopy. The present project will involve the following steps: • Development of scanning probe near-field sensors based on solution-synthesized metallic nanoparticles • Operation of an existing setup
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approach, REUNATECH supports the European Green Deal, Sendai Frame-work, and UN Sustainable Development Goals. DCs will benefit from an immersive training structure comprising cross-sectoral secondments
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seismic events. A key outcome will be a digital twin environment capable of streaming and interpreting dynamic structural performance metrics under multi-hazard conditions, enabling timely risk-informed