103 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Linköpings-University" positions in Sweden
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. Areas of study include perception, memory, learning, cognitive development, attention, motor control and spatial navigation. The research falls within the field of cognitive science, with a focus on
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, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant
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factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined roughness, AM roughness is characterized by randomness, porosity, and powder adhesion, producing
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. Subject description The project aims to increase the understanding of the biology associated with response to CAR T-cell therapy in malignant lymphomas. Specific focus will be on (i) early detection
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Application deadline 2026-02-27
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of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity
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duties are to do defect analysis and development of new techniques for sample preparation and imaging (for instance using luminescence and microscopy). Also, computer simulations can be performed. Examples
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial
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dimensionality reduction methods), systems biology analysis (including machine learning and other AI techniques), statistical tools focusing on analysis of complex longitudinal data, and how different types