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- PhD Programme "Gene Regulation in Evolution"
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Field
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education and lab experience, and names and contact details of 2 referees. Requirements Research FieldBiological sciences » BiologyEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelGood Research
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publications and assistance in the preparation of scientific project proposals Participation in teaching tasks Qualifications: Required: Master of Science or equivalent degree in chemistry, physics or a
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position as PhD student (m/f/d) to develop and implemente machine learning applications and data analysis in Translational Psychiatry. Your group The MPIP Fellowship led by Prof. Dr. med. Falkai at the Max
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for Energy Materials” in cooperation with partners from academia and industry from several European countries. Your tasks in detail: Conduct cutting-edge research to develop and validate advanced AI
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hydrogen energy sector. Your Job: Conduct cutting-edge research to develop and validate advanced AI methodologies for the characterization, modeling, and simulation of energy materials. Develop code and
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insights into the sequence encoding of molecular function and its relation to disease as well as epigenetic and 3D genome annotations Develop deep neural nets or classical machine learning models
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 5 days ago
the second year of the position. You have a completed (or are close to completing) university degree (master’s or equivalent) in psychology (e.g., social, developmental), pedagogy, (empirical) criminology
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by the German Federal Ministry of Education and Research and will focus on investigating the impact of harmful algal blooms on the biodiversity of co-occurring marine communities. The biodiversity
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during the master education. Master degree in biochemistry, biotechnology, biophysics or related subjects. Practical experience with FPLC-based protein purification and some techniques involved in
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courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https