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Information Eligibility criteria The candidate must hold a PhD in physics, chemistry, or materials science. Skills in theoretical modeling (ab initio, DF(P)T, GW) will be appreciated. The candidate will work in
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Additional Information Eligibility criteria Candidates should have a PhD in experimental high-energy physics by the date of appointment, or a known defense date in the near future. A former experience in
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of Research ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria The successful candidate will hold a PhD in applied mathematics
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, documented interruptions in scientific activity, such as parental leave or prolonged illness). By the same date two letters of recommendation and the opinion of the candidate’s supervisor (in case PhD is yet
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(wearable cameras). To be considered, you will hold, or be close to completion of a DPhil/PhD in wearable sensors or a closely related field and possess sufficient specialist knowledge in the discipline to
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Education. Any teaching activities is agreed upon with the head of the Department. Qualifications Applicants must have a PhD degree in a field related to writing and/or literacy in the context of the subject
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Required qualifications: BSc in Biology or Agricultural Science (specialization in Plant Protection) PhD in Entomology and Plant Protection Oral and written skills in English language More than 5 years
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possible thereafter. The successful applicant will join a vibrant research environment led by Prof. Nils J. Færgeman. The group currently consist of academic staff scientists, postdoctoral fellows, PhD
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University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture | Croatia | 7 days ago
, Power Engineering and Energy Management Chair Research Field Engineering » Mechanical engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Croatia Application Deadline
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of Research ExperienceNone Additional Information Eligibility criteria Knowledge: PhD in Neuroscience In-depth knowledge of neurophysiology Mastery of in vivo recording techniques in rodents Strong knowledge