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including education, technical experience, publications and the contacts of 2 referees. Applications must be submitted online before 30 June 2024 at https://snp2prot.uni-halle.de/project-details-b/4
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many other offers for employees - Health management “Healthy University” - Further education opportunities Eligibility criteria You should not have resided or carried out your main activity (work
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with the skills to develop new ideas and utilise chemistry to functionalise biomaterials? Then this PhD is an ideal opportunity for you. For in vivo applications medical materials must meet stringent
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time model VBL - pension scheme in the public sector From individual advancement with a wide range of continuing education opportunities to a variety of health and recreational offerings, you can expect
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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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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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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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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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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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teaching Working hours: full-time (65 %) Published: 06.06.2024 Limitation:Temporary (3 years) Contract:TV-L Your Tasks In a dynamic and multidisciplinary environment, the candidate will work on the