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.IDEAS PhD Researcher(m/w/x)
Developing interpretable, robust ML/AI forecasts for flood events at environmental research institute. Strong programming and data analysis skills required. 30 days vacation, remote work possible.
Anforderungen
- Very good Master’s degree (MSc or equivalent) in relevant field
- Strong programming/data analysis skills
- Motivation for large, complex datasets and modern ML/AI methods
- Strong interest in interdisciplinary research
- Ability to collaborate in diverse teams
- Very good English skills (written and spoken)
Aufgaben
- Conduct original PhD research at the interface of data science and domain science
- Contribute to scientific publications and dissemination
- Participate in IDEAS training and cohort activities
- Attend seminars, coursework, and community events
- Develop physically interpretable, robust, and trustworthy data-driven forecasts of flood events
- Combine advanced deep learning and causal representation learning frameworks
- Use explainable AI to enhance flood event predictions
- Identify soil moisture–cloud feedback pathways using graph-based AI methods
- Integrate in-situ, satellite, reanalysis, and climate-model data
- Improve understanding of land–atmosphere feedbacks
- Design novel mini-protein binders against glioblastoma biomarkers
- Combine generative protein design, machine learning, and radiochemistry
- Experimentally validate computationally designed binders
- Translate binders into radiopharmaceutical probes for molecular imaging
- Predict the elimination of plant protection products by pollinator microbiomes
- Use data science and AI to protect pollinators
- Combine graph representation of chemical reactions with existing models
- Develop digital markers of tissue health from continuous metabolic sensing data
- Generate and expand biological measurements
- Learn and predict outcomes from physiological time-series data
- Support clinical decisions with novel digital markers
- Propose and develop self-initiated projects in Life Sciences & Health or Environmental Sciences
- Obtain support from two IDEAS PIs for Innovation Track projects
- Contact potential supervisors before submitting applications
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- ML/AI methods
Benefits
Mehr Urlaubstage
- 30 days of vacation
Flexibles Arbeiten
- Remote work possible
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.IDEAS PhD Researcher(m/w/x)
Developing interpretable, robust ML/AI forecasts for flood events at environmental research institute. Strong programming and data analysis skills required. 30 days vacation, remote work possible.
Anforderungen
- Very good Master’s degree (MSc or equivalent) in relevant field
- Strong programming/data analysis skills
- Motivation for large, complex datasets and modern ML/AI methods
- Strong interest in interdisciplinary research
- Ability to collaborate in diverse teams
- Very good English skills (written and spoken)
Aufgaben
- Conduct original PhD research at the interface of data science and domain science
- Contribute to scientific publications and dissemination
- Participate in IDEAS training and cohort activities
- Attend seminars, coursework, and community events
- Develop physically interpretable, robust, and trustworthy data-driven forecasts of flood events
- Combine advanced deep learning and causal representation learning frameworks
- Use explainable AI to enhance flood event predictions
- Identify soil moisture–cloud feedback pathways using graph-based AI methods
- Integrate in-situ, satellite, reanalysis, and climate-model data
- Improve understanding of land–atmosphere feedbacks
- Design novel mini-protein binders against glioblastoma biomarkers
- Combine generative protein design, machine learning, and radiochemistry
- Experimentally validate computationally designed binders
- Translate binders into radiopharmaceutical probes for molecular imaging
- Predict the elimination of plant protection products by pollinator microbiomes
- Use data science and AI to protect pollinators
- Combine graph representation of chemical reactions with existing models
- Develop digital markers of tissue health from continuous metabolic sensing data
- Generate and expand biological measurements
- Learn and predict outcomes from physiological time-series data
- Support clinical decisions with novel digital markers
- Propose and develop self-initiated projects in Life Sciences & Health or Environmental Sciences
- Obtain support from two IDEAS PIs for Innovation Track projects
- Contact potential supervisors before submitting applications
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- ML/AI methods
Benefits
Mehr Urlaubstage
- 30 days of vacation
Flexibles Arbeiten
- Remote work possible
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Helmholtz Centre for Environmental Research UFZ
Branche
Research
Beschreibung
The UFZ is an international competence centre for environmental sciences, part of the Helmholtz association. Its mission is to balance social development with the long-term protection of natural resources.
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