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Field
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qualifications:- you have completed or are close to completion (about to submit/defend) of your Master in Computer Science, Electrical Engineering, Statistics, Robotics or a related field- strong background in
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strong background and interest in conservation. The ideal candidate is able to work independently, and has proven experience with managing running field experiments, statistical data analyses, and
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, and with a strong background and interest in conservation. The ideal candidate is able to work independently, and has proven experience with managing running field experiments, statistical data analyses
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bioinformatics with: Proven affinity for cancer and/or immunology research; Experience with genomic analysis from high-throughput sequencing data (R, Phython,Matlab) and affinity with statistics and machine
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. Experience in advanced data analyses and statistical inferences; Hands-on experience in setting up rodent experimental set-ups Experience with in vivo brain activity measurements in freely moving animals
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or agile approaches. You are confident in qualitative and quantitative research methods, data analysis techniques and inferential statistics. It is an advantage if you are familiar with the process of
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,Matlab) and affinity with statistics and machine learning will be a plus; The ability to work independently, but can thrive in a multi-disciplinary academic environment and communicate fluently in English
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applicant has completed a PhD and has a background in environmental humanities, social sciences, ecology, or any other relevant research field, alongside proficiency in statistical and quantitative
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of our planet’s resources, one of the main goals of WUR. Your qualities You possess: A PhD degree in ecology, wildlife biology, conservation biology, statistics, computer vision, data science or a related
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skills in English. You are able to publish in international peer-reviewed journals as a first author. You have experience with multivariate and longitudinal statistical analyses. You are motivated