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. Eligibility A PhD degree in the field of structural biology and biological and/or protein engineering obtained in a preclinical research environment. Hands-on research experience in biochemical and biophysical
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., exome and whole-genome sequencing data analysis, Sanger sequencing, and transcriptome analysis as well as familiarity with high performance computing environment, Linux, phyton, R scripting or other
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Neurogeriatrics. The successful candidate will be employed by ARC. ARC is located at KI Campus Solna, Stockholm. It is a multidisciplinary academic environment, representing medicine (e.g., neurology, epidemiology
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chronic pain states. The position will be placed in the Department of Physiology and Pharmacology at the Karolinska Institutet, which has a collegial, international and dynamic research environment. We
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environment (EPiCSS). The aim of EPiCSS is to develop early interventions and prevent mental illness, including substance use, by understanding risk and protective factors. Your mission We are looking for a
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to work in a highly interdisciplinary and international environment and combine the development of state-of-the art genome-wide approaches with the molecular dissection of fundamental biological problems
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team, and contribute to a good social environment in the laboratory. The applicant must hold a doctoral degree in natural or engineering sciences. The candidates with experience in electrochemistry and
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highly accomplished team. We offer a stimulating environment in a rapidly moving research frontier. The successful candidate will be part of a cluster of other researchers working on similar topics
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proficiency (written and verbal) and project coordination skills What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's
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creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge