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fosters collaboration, supported by extensive research software engineering resources. The project is supported by AWE-NST. Find out more: https://warwick.ac.uk/fac/sci/hetsys/themes/projects2025 Please
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the Laboratory for Molecular Infection Medicine Sweden (MIMS), and have the chance to use the multiple facilities (e.g., NMR, metabolomics, protein expression, cryoEM) for a successful PhD. In
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | 6 days ago
an exciting opportunity to outstanding Master's degree holders (or equivalent) from any relevant field (life sciences, mathematics, physics, computer science, engineering, etc.) to be immersed in a stimulating
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, bioengineering, chemical engineering, microbiology, or other relevant backgrounds are preferred. You will have the opportunity to collaborate with multiple academics and early career researchers in biofilm
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inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på nettsiden, slik
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. Minimum Qualifications: Ph.D. or equivalent terminal degree, or foreign degree equivalent, from an accredited institution in Chemistry, Physics or Engineering. A minimum of two (2) years postdoctoral
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): Automated bidding strategies for participating in multiple markets (hydrogen, electricity) over different time scales, such as short-term forward markets and spot markets (operating in real-time). This can be
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at the University of Warwick, offers an exceptional opportunity for students from physical sciences, life sciences, mathematics, statistics and engineering backgrounds who are passionate about applying their
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techniques and multiple scattering simulations of transmission electron microscopy images. Software development in Python Find out more: https://warwick.ac.uk/fac/sci/hetsys/themes/projects2025 About us: The
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy