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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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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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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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research to develop and validate advanced AI methodologies for the characterization, modeling, and simulation of energy materials. Develop code and utilize frameworks like Django to support the automation
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– Doctoral Network, StoreAGE (https://storeage.eu/). The goal of StoreAGE is to provide excellent education for doctoral candidates in the fields of battery-based energy storage and surface science. The
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implementation of the new HClimRep foundation model, Assist the HClimRep team with testing and improving the HClimRep model, Develop a concept of software package of hydrological downscaling based on the HClimRep