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the successful candidate. We are looking for a candidate who has: A PhD in law or a related field. Prior knowledge of and an interest in human rights law, climate change and environmental law. Ambition to develop
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communication. Criteria of the candidates: PhD in Chemistry, Physics, Materials Science, or related disciplines, with a focus on inorganic materials and/or electrochemistry. Strong motivation and passion
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence
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, at a panel at the Medieval Congress in Leeds in July 2026 and in other dissemination activities. Qualifications Applicants must have a PhD degree or must document equivalent qualifications in a relevant
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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 18 hours ago
Research Group "Cluster Algebras" of Dani Kaufman has openings for PhD Student and Postdoctoral Researcher Positions. The group is based at the Max Planck Institute for Mathematics in the Sciences, a
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“Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted
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interest • Report scientific results in peer-reviewed academic journals and talks. Required Knowledge, Skills, and Abilities: • PhD. in Physics, Chemistry, Material Science, Photonics or related field
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to their own research interests. About You Candidates should have a PhD in a relevant discipline or will have obtained it by commencement of the position. Candidates should have some experience in multi
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required: PhD in Bioinformatics, Data Science, Immunology, or a related field. Strong expertise in data analysis, bioinformatics pipelines, and statistical methods. Experience with single-cell multi-omics