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an innovative multi-method design, the project integrates: Daily diary and ecological momentary assessment (EMA) approaches In-depth qualitative and immersive fieldwork conducted by the geography team A key
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on ARSPECTRA hardware in collaboration with their engineering team Contribute to open-source code, demonstrators and joint publications with ARSPECTRA and clinical partners Your profile PhD in computational
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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, please contact Prof. Dr Janne Fengler at Your profile Excellent PhD in Educational Sciences, preferably with reference to one of the following subject areas: experiential education / outdoor education
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Description RESEARCHER PROFILE: Postdoc/R2: PhD holders RESEARCH FIELD(S)1: Environmental Science MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Biological sciences, geography JOB /OFFER DESCRIPTION The ClimatFeux
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, intercultural and inter-institutional awareness as well as a spirit of team-work are prerequisites: PhD in educational sciences, social sciences or equivalent Strong knowledge of qualitative and/or quantitative
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, etc.). Robust AI (knowledge of methods for quantifying uncertainty in deep learning or formal verification methods applied to deep learning) Embedded AI Reinforcement learning, supervised and
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along with complementary structural biology methods. The successful fellow will work at the Institut Laue Langevin (ILL) to develop and apply cutting-edge neutron crystallography approaches