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rural landscapes of Sweden. The project is a part of the broader research program Wallenberg Initiatives in Forest Research, WIFORCE . It will also engage in interdisciplinary collaboration by combining
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analysis, and biology, as well as Python and R programming language (critical). Previous experience analyzing high-resolution spatial VDJ/transcriptomics, long-read sequencing, single-cell transcriptomics
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Deadline 18 May 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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. Experience with programming and AI (e.g., Python, RAG, Agent System). Experience in GenAI, natural language processing, machine learning, and deep learning Experience with software development tools and
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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discipline Experience in R programming or other relevant statistical software Excellent written and spoken English communication skills (proficiency in Swedish is not required) Additional merits: Previous
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) Application Deadline 1 May 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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of English, spoken and written Other qualifications For the doctoral programme in question, the following are considered as other qualifications: ability (e.g., demonstrated in a thesis project) to develop
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- 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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-language-action models (VLA), specifically the handling of uncertainty in VLAs. VLAs have the potential to simplify system design in robotics and autonomous driving, both through verbal user interfaces, and