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) Good communication skills in English Ability to work efficiently, both independently as well as in a team Previous experience in the fields of soft matter or biophysics, quantitative image analysis and
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health by analyzing everyday behavioral patterns. What you will do What you will do Your research will extend our work on smartphone interactions to people with epilepsy, investigating how significant life
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applicants will work as part of the Groeien met Groen Staal (GGS) programme, which aims to make the Dutch steel sector CO₂-neutral by 2050. Steel is crucial to modern society and plays a significant economic
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European contract (Horizon Europe, EIC). The work will be shared between two laboratories located on the Saclay Plateau: the Laboratoire de Mécanique Paris-Saclay (LMPS) at ENS Paris-Saclay/École Centrale
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problem caused by unidirectional replication initiation in the proliferation arrest induced by DciA depletion. The thesis work will be divided into two parts: (i) analysis of the consequences of DciA
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correlations between active galactic nuclei, especially blazars, and neutrinos detected by KM3NeT. In this context, he or she will play a key role in the KM3NeT real-time data analysis group, as well as in
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, electrical engineering, technical medicine, or a related field. You have a solid background in biomedical signal analysis, physiology dynamic system, and machine learning technologies, and preferably have
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for automatic species identification, the use of various modelling approaches (such as generalised linear models or mixed models), spatial analysis of the movement of animal species tracked by GPS, analysis
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science
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. • Experience in at least one of the following areas: microplastic analysis, soil science, plant physiology, environmental chemistry, or greenhouse experiments. • Ability to work in a multidisciplinary and