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Field
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analysis, and large-scale testing infrastructures. Studying deterministic and probabilistic tracking mechanisms (e.g., shared identifiers, IP correlation, fingerprinting (see [1]), or behavioral
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development of implements for managing main and support crops in the field, tested on stationary gantry robots and mobile platforms. Work includes lightweight, structurally optimized mechanical design, sensor
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the near-term and in the fault-tolerant setting, developing new protocols in quantum error correction, finding more efficient ways to classically simulate quantum computations, or prove new foundational
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do Data collection – Include patients, conduct MRI measurements, administer cognitive tests, collaborate with a software engineer to create a smartphone app Analyses – Follow up patients and process
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employed at Lund University. As a doctoral student in this project, you will perform work in accordance with a set individual study plan. The focus will be on performing research to optimize and test DBTMI
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analysis software; Organizational skills, time management, attention to detail, and teamwork abilities; Intermediate/advanced level of English language proficiency; Availability for flexible working hours
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We are seeking a talented and motivated Postdoctoral Research Associate (PDRA) to join the Energy and Power Research Group for a 12-month appointment to develop, implement and test a numerical model
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software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new code via
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, testing the results against experimental data and deriving interpretative and predictive scenarios. An active contribution to the software algorithms is also wished. Teaching duties come with this position
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: Undertake material and in vitro biological characterisation of printed constructs through thermal, mechanical, and microscopic testing, as well as cell viability and functionality assessments, to establish