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Field
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, construction, and optimization of synthetic biological systems and enzyme engineering workflows. Execute advanced molecular biology techniques, including DNA manipulation, PCR, and molecular cloning. Conduct
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that significantly reduce computation cost, memory footprint, and power consumption. Design and optimize efficient training and inference pipelines for foundation models (LLM, VLM, VLA) across different model sizes
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development, optimization, and validation of in vitro mammalian cell based assays that are related to metabolic diseases (such us cell culture, RNA/protein extraction qPCR, western blotting and other metabolic
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technologies. Design and optimize EUV technologies based on free electron-driven materials Lead papers and publish in high-impact journals Present at top-tier international conferences Assist PI in writing
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funding. Prepare figures, reports, oral presentations, and scientific manuscripts for publication. Maintain accurate documentation of analysis workflows and optimal experiment progress in the laboratory
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of medicinal chemistry. The candidate will be responsible for designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and orthosteric) and ion channels (a4b2 nAChR
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
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at the forefront of plasma processing and surface engineering. Key Responsibilities: Lead the design, optimization, and scale-up of PVD and CVD plasma-based processes, with an emphasis on high-performance composite
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responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and
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in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization