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evolution, ecotoxicology, marine biology, plant physiology, systematics, and environmental and climate science. Presently around 100 people, including 35 PhD students and 10 postdocs, in 25 research groups
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the Arrhenius Laboratories for Natural Sciences, which are situated in the northern part of the University Campus at Frescati. Some 300 people of which about 70 are PhD students work at the Department, engaged in
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been directly mapped. This PhD position at Stockholm University focuses on leveraging machine learning (ML) to identify errors in large bathymetric datasets and applying ML techniques like "super
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evolution, ecotoxicology, marine biology, plant physiology, systematics, and environmental and climate science. Presently around 100 people, including 35 PhD students and 10 postdocs, in 25 research groups
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background in biochemistry, molecular biology or cell biology. Priority will be given to applicants with prior experience in the above techniques (please include documentation). Qualification requirements In
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. We are seeking PhD candidates with strong and documented backgrounds in biophysics, biochemistry, molecular biology, or related fields. Proficiency with molecular cloning, protein purification, cell
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evolution, ecotoxicology, marine biology, plant physiology, systematics, and environmental and climate science. Presently around 100 people, including 35 PhD students and 10 postdocs, in 25 research groups
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the Arrhenius Laboratories for Natural Sciences, which are situated in the northern part of the University Campus at Frescati. Some 300 people of which about 70 are PhD students work at the Department, engaged in
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the Arrhenius Laboratories for Natural Sciences, which are situated in the northern part of the University Campus at Frescati. Some 300 people of which about 70 are PhD students work at the Department, engaged in
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and various versions of ProQ. The group comprises 5 PhD students, two postdocs and one senior researcher. Qualification requirements In order to meet the general entry requirements, the applicant must