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. Tasks Your main responsibilities will include: Conduct behavioural observations, welfare assessments, cognitive testing (e.g., novel object recognition, problem-solving, attention bias), and stress
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collaboration with the division of Geoscience and Remote Sensing at Chalmers. The project is funded by the European Research Council (ERC) under the MIXCLOUDS project, with the following objectives: -Advance our
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zinc- systems. Proven track record of peer-reviewed publications and effective scientific communication. Excellent communication skills in English (written and spoken). Desirable qualifications: In
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, biostatistics, molecular biology/medicine, or a related field. Additional requirements A strong track record in a relevant field of research, documented by first authorships in peer-reviewed original publications
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risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include
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spatial point process models for the emergence and arrangement of objects (including birth-death dynamics, merging, and non-overlap constraints) with methods from shape analysis, in particular stochastic
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or an equivalent foreign degree, obtained within the last three years prior to the application deadline Outstanding track record in publishing work on electrosynthesis in peer-reviewed journals
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batteries. The main objective is to develop a molecular-level understanding of electrolyte degradation and to predict chemical stability by constructing reaction networks based on density functional theory
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track record in publishing work on electrosynthesis in peer-reviewed journals Effective working in teams What you will do Test and evaluate the performance of polymeric electrodes for electrosynthesis
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Desirable qualifications experience in computer vision for video analysis (e.g. tracking, pose estimation, behavior recognition) experience working with large-scale or long-term video data experience with