163 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" research jobs in Sweden
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. The overall aim of this project is to address these challenges by: Developing new data-driven and physics-based models of battery behaviour. Designing advanced BMS algorithms for real-time monitoring and
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The position is placed at the Division of Astrophysics in the Department of Physics to work with David Hobbs on developing algorithms to improve the quality and scientific information that can be
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application! We are now looking for Computational Research Assistants in Tumour Evolution and Single-cell Genomics. The position Cancer evolves over time and space, with subclones often acquiring new mutations
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The Department of Biochemistry and Biophysics is seeking a Researcher and Head of Unit with experience in drug development for placement at the Biochemical and Cellular Methods Unit, Science for
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Genetics at the Swedish Museum of Natural History is offering a two-year Postdoc position focused on understanding the evolution of homoploid hybrid lineages. Work tasks We will focus on sequencing
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the developmental rules underlying phenotypic variation. The successful postdoctoral fellow will develop and implement an empirical framework that utilizes data-driven algorithms to learn relationships between past
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be a part of the development of a larger effort aimed at the development of light-emitting electrochemical cells (LECs). The LEC is a novel technology that is attracting interest from both academia and
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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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around 15 are PhD students. The work environment is open and welcoming, striving to provide each employee with the opportunity to develop personally and professionally. The field of solid mechanics relates
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman