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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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evidence in clinical practice guidelines and feasibility of generating evidence from target trial emulations). "CPG-EMULATE" is a research project funded by the French National Research Agency (ANR) and
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to its host and its persistence in order to identify potential therapeutic targets. This project aims to identify and validate the function of regulators or actors of specific metabolic pathways using
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Complex sugars (CS) are key ligands for modulating the pharmacological properties of proteins, triggering specific cellular responses, and enabling targeted vectorization in biotherapies. There is therefore
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research contractors. Through the design and characterization of new materials, the laboratory's approach leads to the optimization of a wide range of properties for targeted applications. The position is in
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 7 days ago
on prostate biopsies, but accurate navigation and targeting during the procedure are challenged by ultrasound imaging limitations, as well as movement or deformation of the prostate. Current clinical navigation
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input fields and then regress on the target variables in the embedding space. However, many challenges remain to be solved with this approach (regarding the use of CNNs vs Vision transformers
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molecular signatures and potential therapeutic targets We are looking for a highly motivated and enthusiastic candidate with interest in neurovirology. Ideal applicants hold: A PhD in cell and molecular
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operational constraints, decarbonization targets, and cost considerations. Define objective functions and robustness criteria to guide decision-making, focusing on minimizing GHG emissions, capital (CAPEX) and