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based on excimers and neutral bremsstrahlung radiation, in various noble gases and molecular mixtures; d) Data analysis: signal processing and analysis of the results obtained in the previous task. Work
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analysing the influence of the main machining parameters on the dynamic behaviour of cutting, with the objective of identifying instability conditions and supporting process optimization. This work plan is
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* (50%) + I * (50%) = 100%. Preference will be given to candidates with expertise in molecular and cellular biology, isolation and culture of primary cardiac cells, transfection of siRNAs/miRNAs/mRNAs
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available in the further tabs (e.g. “Application requirements”). Programme Description Research work (Master's theses, doctoral theses, Postdocs) in the field of natural sciences is eligible for funding
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stage. 3. Preferential Factors Proven experience with decision support systems based on knowledge bases and machine learning. Previous experience in machine learning applied to dynamic systems or orbital
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the dynamics of contaminants in soil/substrate; (iii) Assess the uptake of emerging contaminants by selected agricultural crops (‘plant uptake’) in different production systems and irrigation practices (Activity
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techniques. The candidate should be dynamic and proactive in problem solving and capable of working in a goal-oriented environment and be able to communicate effectively with colleagues Preference will be
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 months ago
The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing of tax data. Core goals include
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at interview. Project Description (EngD): EngD on Multi-Stage Simulation of Aerospace Out-of-Autoclave Composite Manufacture sponsored by GKN Aerospace (Supervised by Dr Mikhail Mateev and Prof Lee Harper
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: Type of grant: Research Grant (BI) – Master Scientific area: Biochemistry, Biotechnology and Molecular Biology Eligibility requirements: Master's degree in Biochemistry, Biotechnology, Molecular Biology