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Science, or a related field Strong background in nutritional analysis, food safety, and data integration methods Proficiency in relevant laboratory techniques and data analysis software Ability to work
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. Experience in AI system security, adversarial robustness, and resilience of autonomous agents in emerging technologies and computer security (e.g., malware analysis, bug detection, program repair). Excellent
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, plasmonics, or chiral photonics. Experience in biosensor fabrication and testing under biological conditions is highly desirable. Proficiency in experimental design, data analysis, and interpretation
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, FACS analysis, multiplex IHC, spatial transcriptomics (GeoMx DSP), and proteomics Experience with clinical samples and biomarker discovery workflows Excellent communication and lab management skills
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well as developing and implementing novel approaches to answer research questions Scripting and automating robust analysis pipelines Writing of scientific manuscripts Presentation of work-in-progress and results
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handling, storage, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis Key Competencies and Requirements: PhD degree in
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are Developing 3D integral equation / boundary element method-based codes. Accelerating these codes with matrix/tensor decomposition-based and fast Fourier transform-based schemes. Adopting these codes
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calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics. Key Competencies/Requirements: Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with
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experimental work and data analysis. Key Responsibilities: Design and conduct experiments related to small molecule catalytic reactions, including catalyst synthesis, activation, and reaction evaluation. Perform
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techniques. Strong background in intermetallic systems, phase diagram analysis, and crystallography. Familiarity with high-throughput or combinatorial synthesis approaches is a strong plus. Experience in