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Field
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appropriate filtering, artifact rejection, and preprocessing techniques. Leading Role in Data Analysis and Machine Learning: Perform complex data analysis using statistical software such as Python, MATLAB, and
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software development, version control and collaborative code development, such as Git Ability to work in interdisciplinary teams. Strong publication record. Preferred Knowledge, Skills, and Abilities
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for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms
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the PERMANENS Consortium, and will report to the PI, Professor Ella Arensman. The PERMANENS research project aims to develop a prototype of a Clinical Decision Support System (CDSS) software, designed to assist
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Postdoctoral Researcher in Ability-Based Tailoring of Interactive Devices at Department of Comput...
. The role You will contribute to the design and implementation of the ABLE platform, including software development, possibly some hardware prototyping, and evaluation with users. A key focus will be
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, Data Science, Software Engineering, Human-AI Interaction, or a related field Proficiency in research methods commonly used in IS research, such as design science research Strong interest in publishing in
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. The role You will contribute to the design and implementation of the ABLE platform, including software development, possibly some hardware prototyping, and evaluation with users. A key focus will be
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for a candidate with a strong interest in research and ideally some previous experience in data analysis, such as analysis of genetic data using statistical software. We welcome applicants with diverse
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studies, or related fields. Ideal candidates will have experience or a strong interest in one or more of the following: computational approaches to visual or multimodal materials, open-source software
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method based on Skyline software or equivalent is also preferred. If selected for this position, you will immediately be immersed into a dynamic research environment with multiple high-end Orbitrap and