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Field
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engineering of 2D-based materials and on application strategies to ensure homogeneous interaction with target (mock or living) tissue. The PhD candidate will receive comprehensive, hands-on training in all
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Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
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health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem
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opportunity for a highly motivated and skilled Research Associate/Assistant in statistics to join the EPSRC funded project PINCODE: Pooling INference and COmbining Distributions Exactly: A Bayesian Approach
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& Code PID2024-161357OB-I00: Chemosensory systems in bacterial phytopathogens: Unraveling complexity and exploiting novel targets for disease control Principal Investigators: Emilia López Solanilla
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and simulations to SDR/HIL prototypes and field trials, aligning developments with 3GPP-NTN and targeting IRIS² use cases. Where to apply Website https://www.cttc.cat/job/call-20-2025-1-researcher
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of Microbiology, University of Helsinki, is recruiting a doctoral researcher to study antiviral targeting of host cell interactions in alphaviruses. Viruses with RNA genomes cause most of the emerging and re
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) when the set of learning outcomes is non-predefined. We aim to contribute a set of validated design principles and solutions for various target groups and thereby delivering the foundation for changing
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for the emergence of a circular, zero-waste global battery supply chain, defining the timeline for this development and identifying key targets, e.g. % recovery, recycling volumes, etc. 5. Contrast
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), patent applications and commercialisation (e.g. UoE spinout, MitoRx Therapeutics ). Here, you will design, synthesise and characterise novel potential drug structures to target intracellular structures