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evaluating the adsorption capacity and selectivity of the materials for various metal ions commonly found in electronic waste, aiming at developing efficient nanocomposites for E-waste recycling. Furthermore
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electronically excited states. This research involves qualitative electronic structure theory, quantum chemical computations, and experimental investigations within the research group as well as in collaborations
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light facilities and free-electron lasers. In most of these activities, theory and modelling are important parts. The work environment is flexible, inclusive and always welcomes your own creative ideas
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, chromatography, electron microscopy) of biopolymer-based materials; functionalization of biopolymer-based materials by chemical modification with functional groups and/or functional ligands; testing of materials
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conferences in machine learning and computer vision is a strong plus. Good oral and written proficiency in English. Ability of teaching in Swedish or English is required. Additional qualifications Experience
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preparations and measurements, scanning electron microscope imagery), along with phylogenetic analyses and barcoding of the specimens. Duties include sorting of sponge collections, identifications to the species
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, responsible, and has a structured approach to problem-solving. When selecting among the applicants we will assess their ability to independently drive their work forward, to collaborate with others, to have a
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making algorithms. The position might also include teaching, maximum 20 %. Requirements: PhD degree or a foreign degree equivalent to a PhD degree, within machine learning, signal processing, computer
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the scope of this project. Work Duties The work duties include synthesis and characterization (e.g., X-ray diffraction, IR spectroscopy, electron microscopy, gas adsorption) of porous materials; testing
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knowledge and experience in materials and electrical characterization is meriting. We require good skills in independent work, to be able to lead and execute subprojects, to have good ability