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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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of improved genetically encoded hypoxia reporters REQUIREMENTS: The candidate must hold a PhD in life sciences (obtained no longer than 3 years ago) A strong interest and experience in confocal and / or
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international journals Presenting at national and international scientific conferences Applying for research funding in the field of pancreatic cancer Your Profile PhD in Biology, Medical Research, or a related
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medical professionals to translate research into real-world applications. Mentor graduate students, teach related courses, and contribute to grant writing. Requirements A PhD or equivalent in a technical
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an international working environment. Further information: For questions, please contact Dr. Esteban Acevedo-Trejos, email: esteban.acevedo(at)leibniz-zmt.de Details of position: Salary will be paid according
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(dry lab) approaches Be part of Geman Center of Cardiovascular Research (DZHK) and the collaborative research center CRC1550 "Molecular Circuits of Heart Disease". Your Profile PhD in molecular biology
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participants, and mathematical / statistical modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous
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” are ready to be exploited. • You will also be involved in the training of students. Your qualifications and skills: • You have a PhD or equivalent degree in biology, agri-cultural biology or any related field
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data Strong analytical, problem-solving and communication skills Ability to work successfully both independently in a multidisciplinary team of biologists, physicists, and computer scientists Excellent