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Field
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Technology Institute (GTI) at UM6P leads cutting-edge work in: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering
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of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to contribute to the development, optimisation and implementation of an automated workflow
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approximation theory can be automated by a (neural network) guided search over the action space of standard tools (e.g., Hölder inequalities, Sobolev embeddings, ...). Certain proofs in these fields require
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across diverse scientific data modalities such as structured databases, ontologies, and unstructured text. The goal is to enable automated hypothesis generation and obtain scientific insights, with
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of an automated workflow to determine the drug susceptibility and resistance liabilities of novel antifungal drugs, across a wide range of fungal pathogens, both alone and in combination with existing antifungal
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the law, otherwise it is voluntary. 10. Your personal data will not be processed by automated means and will not be subject to profiling. Website for additional job details https://ibmib.web.amu.edu.pl
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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. You have good programming skills in Python and/or R; you are familiar with reproducible coding and automated (geospatial) data analysis. You have excellent scientific writing and communication skills in
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will be developing control electronics based on Arduino or Raspberry Pi and write the corresponding software, ensuring significant automation and simple user interfaces such that other researchers can
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at lab scale and pilot scale, automation of reactor systems and data recording systems. You will be expected to manage your own academic research and administrative activities. This involves small scale