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high-performance computing ML inference or serving systems (vLLM, SGLang, PyTorch internals, or similar) Interactive theorem proving (Rocq, Lean, HOL, Isabelle, or similar) or other formal methods
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, complemented by modern neuroanatomical, neurophysiological, and electrophysiological methods, along with the analysis of large-scale data on gene expression (project description: https://ncn.gov.pl/.../files
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data developed by our team and others can be linked to health data and appropriate exposure periods and lags Conduct literature reviews to identify research gaps and appropriate methods Develop
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developing computational methods for processing large-scale genomic datasets, such as ancient and environmental DNA (eDNA), metagenomics, and large reference genome collections. We are looking for a
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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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. The final selection of the candidate may be done as soon as a suitable candidate has applied: do not wait until the formal end date to submit your application. Where to apply Website https
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: https://www.udel.edu/faculty-staff/humanresources/payroll/resources/suppay/2026spring/ Location: UD Main Campus – Newark, DE Position Specific Details: This is an open and continuous posting for
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: https://www.udel.edu/faculty-staff/humanresources/payroll/resources/suppay/2026spring/ Location: UD Main Campus – Newark, DE Position Specific Details: This is an open and continuous posting for
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IP communication protocols and methods. Demonstrated ability to communicate effectively both verbally and in writing. Exceptional ability to translate complex technical initiatives into strategic
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Copenhagen ( https://plen.ku.dk/english/research/plant_biochemistry/be/ ) . The research group, headed by Prof. Sotirios Kampranis ( Sotirios Kampranis) , explores and engineers nature’s sensing