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compounds for use in agriculture, including their role as biostimulants, organic fertilizers, or crop protection agents. Develop and optimize methods to extract, isolate, and characterize valuable bioactive
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methods (e.g., ethnography, archival research, spatial analysis). Strong interest in interdisciplinary and Global South perspectives. Excellent writing and communication skills in English; proficiency in
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research team. The successful candidate will work on optimizing methods for nanofibers extraction from various types of biomass, focusing on the development of efficient, sustainable, and scalable processes
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algebra algorithms, including sparse/dense linear systems solving and preconditioners. Scalable implementations of linear algebra methods targeting large-scale HPC systems. Optimization of linear algebra
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research on the development and application of spectroscopy methods such as near infrared and FTIR as alternatives to traditional methods of soil characterization, monitoring and management, Organization
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protein expression experiments using eukaryotic or prokaryotic systems (HEK293, CHO, E. coli, etc.). Applying and optimizing transfection methods (chemical, electroporation) or viral infection techniques
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Job description: ACER is excited to announce open rank positions for post-doctoral researchers dedicated to advancing the fields of Carbon Negative technology, Capture methods, Utilization processes
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plant performance. Analyze experimental data using appropriate statistical methods and communicate findings through scientific publications. Work closely with researchers from other disciplines, such as
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the expected research objectives. We seek highly motivated individuals that can propose solutions applicable in the industrial setting and develop innovative methods of testing the proposed solutions in-lab
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning