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of employment: Karlskrona. Employment level: 100%. Commencement: To be agreed. Duration: Tenure track; initially 4 years with the right to be promoted to a permanent senior lecturer position (tenured
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The Department of Management and Organization at the Stockholm School of Economics invites applications for a tenure-track position at the Assistant Professor level in HRM, leadership, organization
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researchers the opportunity to develop their research over the long term through a six-year tenure-track assistant professorship, with the possibility of promotion to associate professor. All open calls in
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. Through this university-wide initiative, we offer 10 early-career researchers the opportunity to develop their research over the long term through a six-year tenure-track assistant professorship, with
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. Through this university-wide initiative, we offer 10 early-career researchers the opportunity to develop their research over the long term through a six-year tenure-track assistant professorship, with
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. Through this university-wide initiative, we offer 10 early-career researchers the opportunity to develop their research over the long term through a six-year tenure-track assistant professorship, with
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. Application of Bayesian mixing models to investigate consumer diets and food web pathways Requirements To meet the general entry requirements you must have been awarded a second-cycle (Master’s) qualification
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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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chromatographic techniques. Integration and synthesis of previous data with newly collected data on fatty acids, cyanotoxins, and stable isotopes. Application of Bayesian mixing models to investigate consumer diets
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proficiency in oral and written English, creativity, thoroughness, and a structured approach to problem-solving Additional qualifications Experience with one or more of the following areas is meriting: Bayesian