48 data-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" positions at Heidelberg University
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Heidelberg University is accepting applications for anInterdisciplinary Assistant Professor in Natural Sciences. Programs in biochemistry, biology, chemistry, computer science, data analytics
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. Qualified female candidates are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection
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University stands for equal opportunities and diversity. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection
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. Heidelberg University stands for equal opportunities and diversity. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection
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CV, cover letter, and contact information for two references, to Prof. Elmar Schiebel at schiebel.elmar@zmbh.uni-heidelberg.de . The PhD student will be a member of the Heidelberg Biosciences
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based on assessment data. Coordinate and distribute Early-Term Appraisals; disseminate data to academic advisors and coaches; follow up on interventions. Manage Academic Alert workflow in Guardian by
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About the Health + Life Science Alliance Data Space: Expanding beyond the existing scientific collaborations, The Health + Life Science Alliance is building an inter-institutional data space to
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of their CV and/or resume, unofficial transcripts, a statement of teaching philosophy, and contact information for three letters of reference, at least one of which must address the applicant’s
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speaking skills. Strong organizational and analytical abilities. Excellent attention to detail. Ability to be flexible and adapt to changing circumstances. Computer competency on word processing and database
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candidates are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection of personal data is