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Obituaries Awards beyond EMA Materials 2023 survey Commitments Young EMA EMA Awards Technical sponsorship Gender and Diversity Sustanaibility Industrial Relations Research Assessment ESM Presentation Scope All
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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have experience in mathematical modelling or simulations, preferably of biological systems. We encourage candidates from diverse departments, such as physics, computer science, applied mathematics
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the following qualifications: PhD in Physics, Chemistry or Materials Science, you must hold a doctoral degree awarded no more than three years prior to the application deadline. * Experience from first-principles
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energy use and minimizing environmental impact. This collaborative effort brings together expertise in materials science, physics, polymer chemistry, and composite mechanics, with a particular emphasis on
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abundant side streams into high-value bio-based materials, contributing directly to the circular bioeconomy. You’ll work with cutting-edge bioprocessing tools, collaborate with leading European partners, and
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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great advantage: Forest and wood production processes Wood construction Furniture manufacturing Wood material science Machine learning Process simulation and optimisation The postdoctoral fellow is part
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material derived from ex vivo sources. Description of the workplace The Molecular Biophysics group is in the Department of Experimental Medical Science within Lund University Faculty of Medicine, and is led
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intended support design decisions related to manufacturing and process parameter selections; known to influence the material microstructure. Duties: The post doc will develop and apply computational methods