436 algorithm-"Multiple"-"Prof"-"U"-"Simons-Foundation" "University of South Eastern Norway" PhD positions
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and R is a merit. Proven excellence in written and spoken English is essential. The fieldwork will take place at multiple locations across Sweden; a driver’s license is therefore required. Within
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encourage men to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply. Information about applicants may be made public even if
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will inform future race strategy and live race tactics. Multiple factors influence the strategy and tactics in professional road cycling, and these have changed significantly since the COVID-19 pandemic
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for anti-counterfeiting textiles, based on smart security labels with multiple functionalities. 2. Applicable Legislation Decree-Law no. 57/2016 of August 29th, amended by Law 57/2017 and Regulatory Decree
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, ethnicity, religion, worldview, disability, sexual orientation, gender identity, gender expression, and age. We encourage men to apply. If multiple applicants have approximately equivalent qualifications
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-rounded academic background ◾Demonstrated ability to develop precision mechatronics system and algorithms ◾Ability to develop kinematic and/or dynamic analysis of mechanical/robotic systems ◾Ability
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chains, or broader economic systems. There are opportunities across multiple teams, so we can explore together which projects best align with your interests. Do you enjoy calculating the effects of policy
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models