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Monday – Friday 8am – 5pm; possibility of excess of 40 hours per week or weekend hours, depending on workload Job Summary The AI Developer Lead is a senior technical expert responsible for designing
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throughout the doctoral education. Research topic The PhD Fellow will be affiliated with the project Optimization of Energy Transfer in Shallow Geothermal Wells. The goal is to develop knowledge, models, and
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(September–December 2026). The position is tied to the MELICA project and carries an expected workload of 4 hours per week, flexible across the period. Research context We are looking for a technically skilled
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(written and spoken). Strong workload management and organisational skills. The ability to work independently and as part of a team. Thorough knowledge of the scientific community and its needs. To Apply
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acquire the knowledge and skills required to become an independent and/or supplementary prescriber. You will bring up‑to‑date professional knowledge and a commitment to inclusive, innovative pedagogy that
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19 Mar 2026 Job Information Organisation/Company Charles University, Faculty of Science Research Field Sociology Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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19 Mar 2026 Job Information Organisation/Company Charles University, Faculty of Science Research Field Sociology Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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, organisational skills, communication and teamwork skills as well as the ability to cope with a variable workload Very good knowledge of German (C1 level), good knowledge of English potential for a permanent
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the environmental impact of cloud infrastructures, making this PhD topic highly relevant to national and global sustainability goals. Scientific Objectives This thesis aims to develop novel methods for deploying AI
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and prioritise workload Excellent interpersonal, oral and written communication skills. Ability to work independently and as part of a team to agreed deadlines Desirable criteria Knowledge