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Field
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tasks include: Novel fire tests High performance fire-safe polymers The candidate will acquire hands-on experience with polymer processing and composites. The candidate will gain experience in fundamental
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to the ERASMUS project “PROMOTING CROSS-CUTTING DIGITAL SKILLS THROUGH EUROPE-WIDE NON-CONVENTIONAL LEARNING EXPERIENCES” Offer Starting Date 23 Jul 2026 Is the job funded through the EU Research Framework
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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evolution of materials during electrochemical processes and to characterize interfacial ionic transport. Where to apply Website https://joboffers.bcamath.org/ Requirements Research FieldMathematics » Applied
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Description Mission: Provide support in the development of actions related to transformative learning for sustainability and the graphic design of learning tools. Functions to be developed: Conduct research and
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Must Have You have experience in cell biology, molecular biology, biochemistry You are eager to learn and work in a collaborative research environment Desirable but no required / Nice to have You have
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MINDLAB stands for “Manipulating and Investigating Neural Dynamics for Learning and Ageing in the Brain” and is an interdisciplinary creative playground rooted squarely in academic rigor, comprising
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via machine learning Synthesis fire retardants and functional nanomaterials Preparation of fire-retardant polymers via polymerization or polymer process The candidate will acquire hands-on experience
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arrhythmia research. Ensure accurate and timely documentation of study-related clinical data in accordance with study protocols and Good Clinical Practice (GCP). Where to apply Website https://jobs.vhir.org
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biomechanical signals (e.g., EEG, EMG, ECG, eye tracking, inertial sensors). Programming skills in Python and/or MATLAB; familiarity with machine learning frameworks. Experience in sensor integration, real-time