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Stockholm University. Requirements: An MSc, including a thesis of at least 30 hp in Biotechnology, Bioinformatics, or related fields. English as a working language, with Swedish as a strong merit. Experience
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technology, or applied mathematics, with a specialization in energy systems analysis, or energy economics. Strong written and verbal communication skills in English. The following experience will strengthen
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, biomechanics and computational approaches. A relevant background is a degree in plant biology and/or related fields. Other requirements are: Solid background in cell and molecular biology. Experience in standard
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, mitochondria, and chloroplasts. The project will involve developing mathematical models, validating them with experimental data, and making predictions. The ultimate goal is to decode the mechanisms behind intra
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degree in Materials Science, Chemistry, Chemical Engineering, or a related field • Solid experience in polymer processing and characterization, particularly of solution-processed conjugated polymers
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following experience will strengthen your application: Familiarity with blockchain systems We value a collaborative attitude and an interest in working both in teams and independently. Self-motivation
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experience, particularly in research or development related to wood materials or construction. In addition, special emphasis is placed on intellectual curiosity, analytical ability, thoroughness, and
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. The following experience will strengthen your application: Knowledge about symbolic AI Knowledge about neuro-symbolic methods Knowledge of applied mechanics What you will do Your main responsibility is to pursue
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disciplines Excellent written and spoken English Experience with optimal control theory and methods Contract terms The position is regarded as a full-time employment with a competitive monthly salary and full
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accepted. The following experience will strengthen your application: Familiarity with Federated Learning We value a collaborative attitude and an interest in working both in teams and independently. Self