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can conduct research independently • Fluent in English and able to present research to both researchers and the general public • Strong publication record • Experience in conducting wind/water
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, statistics, computational biology, or a related field; Strong programming skills in one of the traditional programming or scripting languages (R/Python/C++); Experience working in a Linux environment; A strong
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Protected Area. Mōu | Who You Are You will have completed a PhD in Population Genetics or Evolution, or a closely related subject. You will have excellent communication skills and written English, the ability
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Reliability Program (BPRP). As a successful candidate, you should be highly motivated and welcome the use of a variety of approaches to address important, challenging scientific problems. Why should I apply
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topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
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and to get to know the research environment at the University of Konstanz while keeping your position at home. As these fellowships can build a first bridge to the German and European academic system
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using programming languages such as Python or R. Communication and Organisational Skills: Excellent problem-solving skills, with the ability to plan, prioritise, and manage multiple tasks efficiently
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disciplines. Candidates are selected based on eligibility, program expectations, and research proposals. Overriding consideration, when evaluating the application, will be the quality of the candidate
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learning or large language models. Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models
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bibliography, list of contributions to or development of software packages and tools, links to key repositories, and lists of specific software-related skills including programming languages used and number