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Field
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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the last three years is considered an advantage. If there are special reasons, your degree may have been completed earlier. We are looking for candidates with: • PhD in bioinformatics, computational biology
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this role, we are looking for candidates to have a PhD in immunology, cardiovascular science, haematology, or a closely related field, with hands-on experience of cellular and/or molecular approaches
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of photoelectrochemical performance. Requirements: PhD in Physics, Chemistry, Materials Engineering, or related fields; experience in semiconductor characterization and electrochemical measurements; proficiency in English
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scientific conferences PROFILE PhD in the life sciences or a closely related field Proven expertise in neuronal cell culture models, fluorescence microscopy, electrophysiology, and synaptic function
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Researchers with a PhD in Economics or Finance, a strong commitment to research, and prior experience in the areas of Energy and Environmental Economics and/or Empirical Industrial Organization. The positions
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Contributions to public relations and social media Required skills and qualifications: Doctorate degree / PhD in Environmental Sciences and Civil Engineering Very good German and English skills Excellent
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Requirements You have a PhD in chemical engineering, chemistry, applied physics or a related field. You have a strong track-record and experience in physics-based modelling of batteries. You have experience
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related to Remote Sensing (RS), Environmental Sciences, Computer Science, Engineering, or related fields; • Solid knowledge of RS, preferably in water quality; • Solid experience in programming, preferably
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. Background: You hold a PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems or related fields. Core Expertise: Strong expertise in Federated Learning and/or Continual Learning