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. Requirements and qualifications Applicants should have a PhD in statistics (or related area) before starting the position. Priority will be given to candidates who have completed their doctoral degree
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as a postdoctoral researcher, a PhD or a foreign degree deemed to be equivalent to a Swedish PhD is required. This eligibility requirement must be fulfilled at the latest at the time of the employment
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skills are essential in order to understand and benefit from this new data intensive mining environment. Qualifications In order to be eligible for a postdoctoral scholarship you must have a PhD degree or
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dissolution behaviour Analyse time-resolved experimental data using statistical and machine-learning approaches, and validate predictive models using independent experiments Design and conduct controlled
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collaborate closely with the project team, including co-supervising the project's PhD student and working with partners at the University of Texas at Austin. In terms of study area, you will primarily focus
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cereals. The field experiments will generate multivariate data and you are expected to conduct statistical analyses and interpretations of the data based on scientific literature and theoretical frameworks
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that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the date of the employment decision. Under special
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and
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biodiversity. Your profile Qualifications Doctoral degree in biology or equivalent. Good knowledge in forest ecology, fungal ecology and statistics as well as field and lab work experience and taxonomic