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with a broad range of symptoms. Such pathologies include cancer, auto-inflammatory and auto-immune disorders, but also metabolic diseases. With the support of the European Research Council (ERC), we aim
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with a broad range of symptoms. Such pathologies include cancer, auto-inflammatory and auto-immune disorders, but also metabolic diseases. With the support of the European Research Council (ERC), we aim
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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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- integration within the BioDiv team at IBENS - availability of work station, computer, access to computer cluster Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-189/Candidater.aspx
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: • PhD in Geography (Remote Sensing, Geomatics), Computer Science, Agricultural Sciences • Skills and/or knowledge in artificial intelligence (Machine Learning) and programming: proficiency in Python
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Innsbruck (J.Phys.Chem.A2021,125,7662−7669) in an existing machine. The successful candidate will be responsible for the theoretical design (SIMION simulations), mechanical design (SOLIDWORKS), and final
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resonance spectroscopy, imaging (MRI), Applied Mathematics or Machine learning. We are looking for talented, highly-motivated experimentally skilled young scientists with Master degrees or equivalent or PhD
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 20 days ago
in type theory, programming languages, machine-checked proofs, and, in particular, in the proof-theoretical properties of various formulations of the axiom of choice. Fluency in French or English
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nano-machines and nano-robots as a drug delivery vehicles. Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/133531 Requirements Specific Requirements We are looking a highly
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biostatistics, - At least 2 years of postdoctoral experience, and if possible experience in supervision (master or PhD students), - Solid background in mathematical modelling and computer programming