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. The file must include: Application, specifically addressing how you can contribute to the project (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Applications received after
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opportunities For more information see the LEAD AI webpage or send an email to leadai@uib.no Qualifications and personal qualities: Applicants must hold a Norwegian PhD or an equivalent degree in meteorology
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enthusiastic Post-Doctoral Fellow interested in advancing their career in a high-impact laboratory headed by an energetic, principal investigator, Dr. Eric Pietras, PhD. The lab is part of a richly collaborative
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: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in biostatistics, statistics, or related field Experience using R and/or Python to carry out data analysis
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Biomedical Science related Master´s degree or DVM degree in addition to a PhD are preferred. This position will require attention to detail, leadership abilities, problem-solving skills, and a passion for
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. The candidates will be considered until the position is filled. To be considered, all applicants must submit: Cover letter Curriculum vitae with complete publication list BSc, MSc and PhD transcripts Research
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Interfolio. Include the following items: 1) CV including a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information
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data; organize and archive data, consent forms, and ethics paperwork in line with project and KCL policies; and deliver periodic presentations and written fieldwork reports to the Principal Investigator
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
of (a) (young) stellar clusters, (b) molecular gas and dust, or (c) star-forming sites (e.g. HII regions) in gas-rich galaxy centers. The work will encompass all aspects from data reduction to their in