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phenotyping of health outcomes at multiple time-points. S/he will work within a diverse, highly collaborative, and multi-disciplinary research environment and interact with world leaders in the fields of cancer
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attributes; a) familiarity with the physical processes contributing to sea level change; b) experience with ocean and/or earth system modeling; c) experience with Python and scientific data analysis.Candidates
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datasets, and synthesize results for publication and reporting. Proficiency in programming languages and software commonly used in research, such as Python, MATLAB, R, or GIS tools. Excellent written and
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to work on fundamental challenges in distributed systems, real-time communication, and AI-enhanced automation with applications across multiple critical infrastructure domains. You will collaborate closely
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at multiple fidelities: from simplified beams to full 3D FE models. You will collaborate closely with both academic and industrial partners in Denmark and abroad, ensuring that your research has impact in
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, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral communication skills. Preferred Qualifications: Strong publication record with publications in
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., cracking systems, storage, gas power cycle, gas turbine) Familiarity with Systems Engineering approach Experience with: ASPEN plus ASPEN Hysys Python or relevant programing language Transient simulations
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such as fisheries and marine ecosystem services, assessed on the scale of individual MPAs as well as globally, across multiple MPAs. We anticipate that this work will also translate into analytic tools
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success. Basic Qualifications: A PhD degree in Computer Science or related discipline. Demonstrated experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python and C
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), CUDA and/or OpenACC, FORTRAN, Python. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams