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                into hours, scale evidence review across thousands of studies, and explore many hypotheses in parallel so researchers and clinicians can focus on strategic decisions and patient care. Every solution you build 
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                architectures, distributed computing, high performance and parallel computing, ethical and sustainable computing, artificial intelligence. The journal will also explore opportunities in emerging and 
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                Doctoral/PhD degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics. • You can demonstrate excellent abilities 
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                in data science, computer science, computational biology, or a related field Solid programming and data science skills, including familiarity with Linux, Python programming, version control, continuous 
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                , excursions) Global geo-/paleomagnetic field modelling expertise is advantageous Strong programming skills, preferably in Fortran, Python and/or Matlab, parallel programming Experience in international 
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                , and the ability to drive and follow through on multiple complex projects in parallel. The Director will collaborate with both internal and external stakeholders to ensure smooth and efficient operations 
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                method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during 
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                of programming, learning theory, parallel algorithms or quantum computing Research publications in theoretical computer science conferences and journals Experience in teaching Computer Science topics 
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                Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with 
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                -Based Generative Models: How can we fundamentally redesign generation processes for superior efficiency, controllability, and quality? We are exploring diffusion models, flow-matching, and other parallel