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Field
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a unique opportunity to work at the intersection of molecular biology, forest technology, and applied innovation. The goal is to utilize existing filters in forest machines to collect eDNA, enabling
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space)? What are appropriate descriptors of spatial distribution in the field of materials science (e.g., Voronoi tessellations, particle-particle distances, etc.)? What are appropriate algorithms
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experience with advanced signal processing concepts as well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts
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well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts teaching and research in a broad range of areas, from
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allows us to connect fundamental questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range
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questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations
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: experimental particle physics or experimental astrophysics Astroparticle Physics High Energy Physics / Experiment Cosmology/Particle Astrophysics Appl Deadline: 2025/04/30 11:59PM (posted 2025/04/03, listed
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member of the Oskar Klein Centre (OKC), a vibrant hub of 100+ researchers in astronomy, astrophysics, cosmology, and particle physics with active programs in dark matter, dark energy, structure formation
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of novel magnetic materials, future generations of particle acceleration, measurements of chiral molecules, free-space communication, and elsewhere. The successful completion of the project will result in
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engineering aspects as well as filtering and signal processing. The work is linked to a series of VINNOVA funded projects, REDO, REDO2 and CORD. The purpose of the research is to understand how different