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Field
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optimization modeling. An ideal candidate would use their foundational knowledge of various modeling methods to develop and apply cutting-edge machine learning and data analysis techniques for assessing and
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reproducibility, Knowledge of deep-learning methods, At least one first author manuscript in the context of omics data analysis in an international peer-reviewed journal in good track for publication (to be
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to existing laboratory procedures and techniques to meet the needs of the particular equipment as required. Review laboratory methods manual, scientific journals, abstracts and other literature for information
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data and identify appropriate costs To extract relevant data from published economic studies. Such data is likely to include costs, outcomes, assumptions and other parameters To estimate costs and
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meetings, research discussions, and departmental intellectual life. Scholarly Output Lead/co-lead manuscripts and conference submissions (e.g., VSS/CCN), including figure generation and method writeups
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of Oslo's vibrant team as a PhD Research Fellow in AI methods for innovative robotics! PhD Research Fellow in AI methods for robotic body-brain co-design Apply for this job See advertisement About the
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large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science or computer design/programming Training and
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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on developing methods for the genetic engineering of grapevine (Vitis vinifera) and potentially other plants with the goal of generating plant varieties with novel desirable traits. Combinations of tissue culture
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with Emerging Interactive Technologies Apply for this job See advertisement About the position Position as PhD Research Fellow in Interaction Design / Human-Computer Interaction available