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The AMBER project This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific
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research outcomes, ensuring they meet both scientific rigor and industry relevance. Your work will focus on adapting Kubernetes for lightweight, heterogeneous environments, enabling XR/VR applications
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of forestry, forest damage, forest soil science, and wood science. The department offers courses and educational programs in forestry and wood technology at both undergraduate and advanced levels. Subject area
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and independently plan scientific research, as well as collaborate with other project members. Excellent proficiency in English, both oral and written. Meriting Qualifications: Experience in
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excellent skills in modern computer programming languages such as C++, Python, MATLAB or R. We look for candidates who enjoy collaborating in interdisciplinary teams and are good at communicating science in
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also pursue multivariate time series analyses of monitoring of coastal fish communities in the Baltic Sea. The post-doc will lead and contribute to related scientific publications, and contribute
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based primarily on the relevance and quality of the submitted research plan and secondarily on other scientific merits. Importance will be placed on experience of engagement with non-academic stakeholders
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familiarity with associated technologies. Demonstrated programming proficiency in languages such as Java and Python, along with experience in various development environments. Knowledge of participating in
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communication skills in English, both written and verbal Meritorious: Strong mathematical background combined with solid programming skills * The date shown in your doctoral degree certificate is the date we use
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with our colleagues at the Department of Chemistry – Ångström, we are responsible for the Bachelor and Master programs in Chemistry, and the Master of Science in Chemical Engineering, together