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Field
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systems on software defined radio (SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide
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passionate individual contributing to NTU education environments A highly dynamic person inter-disciplinarily trained in AI, VR, and edu tech An experienced developer designing AI and VR for Education tools
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survival/event history analysis familiarity with Microsoft Office and specialist software (Stata or similar) English language proficiency sufficient for reading and writing academic texts (B2+) Polish
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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: Experience in developing optimization problems and experience with GAMS software; Fluency in Portuguese (spoken and written) ; Minimum requirements: Proven experience in R&D work on electricity and renewable
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other software's packages. Ability to maintain a day-to-day meeting routine with the group leader to update on the progresses made in the development of these software tools. To be successful at Level B
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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and FDS is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT and FDS, Meshing tool and post-processing software. Able to work independently with
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analysis software, e.g. SPSS, STATA, R; Demonstrate a track record of Epidemiology/Biostatistics publications; Be capable of working independently and in a team, have an investigative nature, attention
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Applied Sciences has a vacancy for PhD Research Fellow in Semi-Autonomous Teleoperated Robots The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor