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, or a related field. It is an advantage if you have experience with probability theory, reinforcement learning, or Markov Decision Processes. Coursework or project experience in multi-agent systems
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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collaboration with project partners. In addition, the research post requires organized documentation of laboratory procedures and curating data suitable for publication and patenting. Selection process
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qualifications Publications at top machine learning or computer vision conferences (NeurIPS, ICML, ICLR, CVPR, AISTATS etc.) are highly meriting. Expertise in Bayesian methods, generative models, multimodal models
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, and administrative competence relevant to the discipline; particular emphasis will be placed on teaching competence during the review process. The applicant must demonstrate teaching expertise relevant
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, or a related field. It is an advantage if you have experience with probability theory, reinforcement learning, or Markov Decision Processes. Coursework or project experience in multi-agent systems
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electronics from material and process to a finished, verified component. We work in close cooperation with companies such as Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB and SKF, with leading international
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- for up to five months, with access according to agreement. Other information For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is
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postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation. Other information For information about processing of personal data
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permit. Applicants interested in the six-month stay are advised to consider the time needed to complete the residence permit application process before the start of their stay. While scholarship stays may