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(CRISPRi/a, Perturb seq, combinatorial screens), single cell and spatial omics, metabolomics, and immunopeptidomics. The successful candidate will pioneer assay-algorithm co design, demonstrate cross
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for a candidate capable of developing ML models and optimization algorithms specifically designed for highly dynamic satellite communication (SatCom) systems that can handle networks of varying sizes and
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hospitals. PRIMARY DUTIES AND RESPONSIBILITIES: The qualified candidate will focus on developing new algorithms, including agentic artificial intelligence approaches, for the clinical integration
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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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to evaluate algorithms on those benchmarks. Contributing to writing papers and review of the current literature. Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS: A PhD in biomedical sciences
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numerical simulations with optimization algorithms and software tools. · Carry out experimental validation of simulation results Is Your profile described below? Are you our future colleague? Apply now
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Student or Postdoc (f/m/d) for the project Theory and Algorithms for Structure Determination from Single Molecule X‑Ray Scattering Images Project description Single molecule X‑ray scattering experiments
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intelligence will be used to learn non-neural intelligence: learning algorithms will explore families of simple, interpretable dynamical controllers to solve navigation tasks such as gradient climbing, target
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AI. We champion rigorous, reproducible and reusable computational research that advance the field from fundamental algorithm developments to large-scale applications. The journal complements other
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structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption